You are reading the article How To Do Photo Retouching In Gimp? updated in December 2023 on the website Moimoishop.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested January 2024 How To Do Photo Retouching In Gimp?
If you want to beautify your photos in GIMP, here is a complete tutorial to do so. In this post, we are going to show you how you can apply photo retouching in GIMP.
GIMP aka GNU Image Manipulation Program is a popular free and open source image editing software for Windows and other platforms. It can be used for a lot of image editing tasks including sharpening an image, resizing photos, removing the background from a Photo, making Stencils, and doing much more. Apart from these and more picture editing tasks, you can also remove acne, blemishes, and spots from your pictures and make them beautiful with this software. It allows you to retouch your photos. However, there are no direct options to do that. You need to use the available tools in such a way that your pictures are beautified. How? Let us find out in this post.
Does GIMP have a blemish tool? How do I fix blemishes in GIMP? How to do Photo Retouching in GIMP?GIMP offers several tools that you can use in order to retouch your photos and beautify them. The two widely used tools to retouch photos in GIMP include the Healing and Clone tools. On top of that, you can also use the Gaussian Blur to further retouch your photos. Here are the steps we are going to use to retouch and beautify our images in GIMP:
Remove acne or spots from your photos in GIMP using the Heal tool.
Touch up your photos in GIMP using the Clone tool.
Select the face and apply the Gaussian blur to reduce noise in the image.
1] Remove acne or spots from your photos in GIMP using the Heal toolGIMP provides a healing tool that can be used to remove spots from a picture. It can be used in beautifying images in a lot of ways. You can use it to get rid of spots in pictures, photo refixing, repair photos, remove wrinkles, etc. To retouch your photos and remove acne and pimple marks from a picture using this tool, here are the steps you can follow:
Download and install GIMP.
Open GIMP and import the source image.
Duplicate the image and rename the layers.
Select the heal tool.
Set up the brush properties including size, hardness, force, spacing, etc.
Firstly, you need to make sure that GIMP is installed on your computer. So, download the program from its official website and install it on your PC. Then, open the main GUI of this software and import the source image that you want to retouch.
Next, select the Healing Tool from the toolbox section present at the top-left side of the window.
After that, you can adjust the properties of the healing tool to customize it from the Tool Options tab from the left-side pane according to your requirements. You first need to set up the brush size. If the spots are of small size, keep the brush size lower. Else, you can increase the healing brush size as per your need.
Besides that, you can also configure properties like opacity, aspect ratio, angle, spacing, hardness, and force. It also provides features like Apply jitter, Smooth stroke, Lock brush to view, Hard edge, etc., that you can enable or disable to achieve accurate results.
Read: How to Edit Frames of an Animated GIF using GIMP in Windows?
You need to repeat the above procedure until you get the desired results. Apply the healing tool on all the acne, blemishes, and spots to remove them.
The healing tool will remove the acne, but the redness or the original color is likely to remain. Hence, we are going to use another GIMP tool to achieve accurate and better results. Let’s check out the tool below.
See: How to crop, rotate, and change Image size in GIMP?
2] Touch up your photos in GIMP using the Clone toolTo achieve a better result, the next thing you can do is do photo retouching with the help of the Clone tool once you are done using the healing tool. The Clone tool is used to copy pixels from one area to another area on photos. It is primarily used to repair photos and fix problematic areas in an image.
Here are the steps to use the Clone tool for photo retouching in GIMP:
Select the Clone tool.
Adjust its size and other properties.
Press and hold the CTRL key.
Tap on the spots to clear them up.
Or, you can hit the C key on your keyboard to quickly select the clone tool.
Next, you can set up the brush size for the clone tool from the Tool Options tab present on the left side. Furthermore, you can customize clone tool properties including spacing, angle, force, hardness, apply jitter, smooth stroke, and more.
Read: How to zoom an image in or out in GIMP?
See: How to create an animated GIF from a video file using GIMP?
3] Select the face and apply the Gaussian blur to reduce noise in the imageAfter using the above two tools, you can use a Gaussian blur filter to smoothen the face and further beautify it. Here’s how:
Draw edges around the face to select it.
Choose the Gaussian Blur.
Set up the blur properties.
After selecting the tool, draw edges around the face to select it for beautification.
Now, go to the Filters menu and move to the Blur category. Then, choose the Gaussian Blur option.
In the appeared Gaussian Blur dialog window, you can set up the intensity of the blur filter (keep it low to give a realistic touch), blending mode (lighten only or some other related mode), opacity, and more. It shows the real-time preview as you change these properties. So, you can apply accurate settings accordingly. Once done, press the OK button to apply and save the filter.
Similarly, you can select other remaining parts of the face and apply Gaussian blur to them.
So, this is how you can apply photo retouching and beautify your photos in GIMP. Hope this tutorial helps.
Now read: How to resize images without losing quality with GIMP image editor?
You're reading How To Do Photo Retouching In Gimp?
Snowflakes Photo Border In Photoshop
Here’s what the final result will look like:
I’ll be using Photoshop CS5 here, but any recent version of Photoshop will work.
In this Photoshop photo effects tutorial , we’ll learn how to create a simple snowflakes photo border , which can be a fun finishing touch for photos of family and friends during the holidays or of any snowy winter scene.
This tutorial is from our Photo Effects series. Let’s get started!
How To Create A Snowflakes Photo Border In Photoshop CS5 Step 1: Create A New Photoshop DocumentPhotoshop ships with a ready-made snowflake brush that we could use for our effect, but its default size is a little too small for our purposes here, and increasing a brush beyond its default size makes it look soft and dull. Since we want everything to look nice and sharp, we’ll quickly create our own, larger snowflake brush using one of Photoshop’s built-in custom shapes (if you’ve already completed our Holiday Photo Border tutorial, you may already have a custom snowflake brush ready to use, in which case you can skip to Step 8).
First, we’ll need a document to create the brush in, so go up to the File menu in the Menu Bar along the top of the screen and choose New:
Make sure your measurement type is set to pixels, not inches or anything else.
Step 2: Select The Custom Shape ToolSelect the Custom Shape Tool.
Step 3: Load The Nature Shape SetSelect the Nature shape set from the menu.
Choose Append to add the Nature shapes in with the original shapes.
Step 4: Select One Of The Snowflake Shapes Step 5: Select The Fill Pixels OptionEach icon in the row of three selects a different type of shape. The “Fill Pixels” icon is the one on the right.
Step 6: Drag Out A SnowflakeThe black area will become the brush. The white area will be transparent.
Step 7: Create A Brush From The ShapeGo up to the Edit menu at the top of the screen and choose Define Brush Preset:
Name the new brush “Snowflake”.
Step 8: Open Your PhotoWith the snowflake brush created, open the photo you want to add the border to. Here’s the image I’ll be using:
The original image.
Step 9: Add A New Blank LayerAdd a new blank layer above the image on the Background layer.
Step 10: Fill The New Layer With WhiteGo up to the Edit menu at the top of the screen and choose Fill:
Step 11: Select The Area Where The Photo Will AppearGo up to the Select menu and choose All. This selects the entire document, placing a selection outline around the edges:
With the document now selected, go back up to the Select menu and this time, choose Transform Selection:
Hold down Alt (Win) / Option (Mac), then drag the top and left handles inward.
Step 12: Delete The Area Inside The SelectionPress Backspace (Win) / Delete (Mac) on your keyboard to delete the white area inside the selection, revealing the photo underneath. Leave the selection outline active:
Delete the area inside the selection but leave the outline in place, since we still need it.
Step 13: Expand The SelectionWe need to make the selection outline a little bigger. We could use the Transform Selection command again, but there’s an even easier way. Go back up to the Select menu, choose Modify, then choose Expand:
Expand the selection by 20 pixels or so.
The edges of the selection will expand outward by 20 pixels. Notice that the corners of the selection outline, which were sharp a moment ago, have become rounded. This is a drawback to using the Expand Selection command and why it’s not always the best choice for making selection outlines larger, but for our purposes here, the rounded corners won’t cause us any problems:
All four edges of the selection outline expand outward by 20 pixels.
Step 14: Apply The Gaussian Blur FilterNext, we need to soften the edges of the photo border, creating a smooth transition between the border and the image in the center, and we can do that by blurring it (the border, not the image). Go up to the Filter menu at the top of the screen, choose Blur, then choose Gaussian Blur:
The border edges now appear softer. Once again, leave the selection outline active since we still need it. In fact, it’s going to become the path for our snowflakes:
Softer border edges.
Step 15: Select The Brush ToolSelect the Brush Tool from the Tools panel:
Select the Brush Tool.
Step 16: Select The Snowflake Brush Step 17: Set The Brush Dynamics OptionsWith Shape Dynamics selected, set both the Size Jitter and Angle Jitter options to 100%, which will add lots of randomness to the size and rotation angle of the snowflakes:
Set the Size Jitter and Angle Jitter to 100%.
Step 18: Convert The Selection Outline Into A PathPhotoshop will convert the selection outline into a path, and a Work Path will appear in the Paths panel. The term “work path” simply means it’s a temporary path. We could make it permanent by saving the path, but there’s no need:
Temporary paths are called “work paths” in Photoshop.
If we look at the image in the document window, we see that the selection outline has been replaced by a thin, solid line, which is our path:
The thin line is the path the snowflakes will follow around the image.
Step 19: Set The Foreground Color To White And Lower The Brush SizeDrag the Size slider towards the left to lower the brush size.
Step 20: Stroke The Path With The Snowflake BrushThe first snowflakes appear around the image, scattered along the path:
Scattered snowflakes with random sizes and angles appear along the path.
The final “snowflakes photo border” effect.
How To Do Multiple Level Data Sorting In Excel
In this tutorial, I cover how to do a multi-level sorting in Excel. You can watch the video below, or you can read the tutorial below it.
When working with data in Excel, sorting the data is one of the common things you might have to do.
In most of the cases, you need to sort a single column.
But in some cases, there may be a need to sort two columns or more than two columns.
For example, in the below dataset, I want to sort the data by the Region column and then by the Sales Column. This will allow me to see which sales rep has done well in which regions.
While it’s straightforward to sort data by one column in Excel, when it comes to sorting by two columns, you need to take a couple of additional steps.
In this tutorial, I will show you two ways to do a multiple level data sorting in Excel (i.e., sort by two columns)
When you sort data using the sort dialog box, you get an option to add multiple levels to it.
Here are the steps to do multi-level sorting using the dialog box:
Select the entire data set that you want to sort.
In the Sort Dialogue box, make the following selections
Sort by (Column):
Region
(this is the first level of sorting)
Sort On:
Values
Order:
A to Z
If your data has headers, ensure that ‘My data has headers’ option is checked.
In the second level of sorting, make the following selections:
Then by (Column):
Sales
Sort On:
Values
Order:
Largest to Smallest
The above steps would give you the result as shown below. This sorts the data first by Region and then by Sales column. Note that since it sorts the Region column first when the Sales column is sorted, the Region column remains unchanged.
In this example, I have sorted the data for two columns. You can have more than two-column sorting as well. All you need to do is add these sorting levels and specify the details.
Note: While this method is longer and takes a few more steps (as compared with the multi-sorting method covered next), I recommend using this as it is less confusing.
Not many people know this way of doing a multiple level data sorting in Excel.
This technique works the same way with a minor difference – you sort the second level first and then move to the first level sorting column.
Here are the steps to do it:
Select the column that you want to be sorted last (in this case, select the Sales data first – C1:C13).
The above step would make a Sort Warning dialog box pop-up. Make sure ‘Expand the selection’ is selected. This makes sure the entire dataset is sorted, and not just data in the Sales column.
Select the Region column.
In the Sort Warning dialog box pop-up, make sure ‘Expand the selection’ is selected.
The above steps would sort the data just like it did in the first method.
While this method works fine, I recommend using the sort dialog bo method.
Sort dialog box makes it less error-prone (as you can see which levels getting sorted in which order).
Also, there are more ways to sort data with the dialog box. For example, you can sort a column based on the cell/font color and you can also use your own custom sorting criteria.
You May Also Like the Following Excel Tutorials:
Learn How To Do Real
This article was published as a part of the Data Science Blogathon
IntroductionOpenCV is an open-source computer vision library that provides privileges to play with different images and video streams and also helps in end-to-end projects like object detection, face detection, object tracking, etc.
CVzone is a computer vision package that makes us easy to run like face detection, hand tracking, pose estimation, etc., and also image processing and other AI functions. At the core, it uses OpenCV and MediaPipe libraries. Check here for more information.
Why Real-Time Background Removal is required?For many reasons, the background of the video needs to be modified as there are so many other interruptions in the background or the background colour doesn’t suit the person due to which background or the color needs to be modified. So, we use the real-time background replacement technique to substitute the backgrounds and add replace them with the desired content.
Popular background removal techniquesImage clipping path – This technique is used if the subject of the image has sharp edges. All those elements that fall outside the path will be eliminated.
Image cut-out – Here we cut the required region or subject in a frame and remove the background.
Image masking – If the images have frills or fine edges we can use image masking techniques.
Erasing the background – Erasing the background of an image using any different tools
Many famous applications use a background removal technique and replace it with a custom one. Here we are going to implement something similar, but using OpenCV and CVzone.
Let’s start the implementationInstall the required modules.
-- pip install OpenCV-python -- pip install cvzone -- pip install mediapipeFirst, let us check if our webcam is working fine.
import cv2 cap = cv2.VideoCapture(0) cap.set(3, 640) cap.set(4, 480) while True: success, img = cap.read() cv2.imshow("Image", img) if cv2.waitKey(1) & 0xFF == ord('q'): breakThe above code pops up a window if you have a webcam, Here the frame size is 640 X 480. So we need to take a note here because the background replacing images should be of the same size as the frame, that is 640 X 480.
Webcam output
Now create the folder inside the project directory here, I am creating a folder with the name ‘BackgroundImages’. You can download any images or any number of images and place them in this directory.
The project structure will look like the image given below:
Project structure
Let us write a small piece of code in a separate python file to resize all the images in the folder ‘BackgroundImages’ to 640 X 480.
import cv2 import os for root, subdirs, files in os.walk('D:/pycharmprojects/BackgroundRemover/BackgroundImages'): for f in files: if f.endswith('jpg'): # print(f) img = cv2.imread('D:/pycharmprojects/BackgroundRemover/BackgroundImages/' + f) img = cv2.resize(img, (640, 480)) cv2.imwrite('D:/pycharmprojects/BackgroundRemover/BackgroundImages/'+f, img) print(*["Image", f, "is resized to 640 X 480"])The above code will read the image (jpg) files in the specified folder and resize all the images to 640 X480 at once.
Output after resizing all the images
Now we are all set to implement the background replacement technique.
Import the required modules
import cv2 import cvzone from cvzone.SelfiSegmentationModule import SelfiSegmentation import osHere in the above module, ‘SelfiSegmentation’ is used to remove the background of the frame and replace it with our images in the directory.
cap = cv2.VideoCapture(0) cap.set(3, 640) cap.set(4, 480) # cap.set(cv2.CAP_PROP_FPS, 60) segmentor = SelfiSegmentation() fpsReader = cvzone.FPS() # imgBG = cv2.imread("BackgroundImages/3.jpg") listImg = os.listdir("BackgroundImages") imgList = [] for imgPath in listImg: img = cv2.imread(f'BackgroundImages/{imgPath}') imgList.append(img) indexImg = 0In the above code, we take input from the webcam and also set the frame width to 640 X 480. Then we call SelfiSegmentation() and assign it to a variable called segmentor, and in order to display the frames per second(fps) in the output frames, we use cvzone.FPS() function.
Then we create a list of images present in the BackgroundImages folder and we loop through that list and read each and every image and append it to an empty list. The initial index is set to zero.
while True: success, img = cap.read() # imgOut = segmentor.removeBG(img, (255,0,255), threshold=0.83) imgOut = segmentor.removeBG(img, imgList[indexImg], threshold=0.8) imgStack = cvzone.stackImages([img, imgOut], 2,1) _, imgStack = fpsReader.update(imgStack) print(indexImg) cv2.imshow("image", imgStack) key = cv2.waitKey(1) if key == ord('a'): indexImg -=1 elif key == ord('d'): if indexImg<len(imgList)-1: indexImg +=1 elif key == ord('q'): breakThen we stack the images using cvzone.stackImages, here we will get the output of the background replaced image or frames. Then using a simple if statement we assign keys to change the background. For example, if we have 10 background images, as per the above code we can use key “a” or key “d” to change the background of the frames.
The entire code is given below.
import cv2 import cvzone from cvzone.SelfiSegmentationModule import SelfiSegmentation import os cap = cv2.VideoCapture(0) cap.set(3, 640) cap.set(4, 480) # cap.set(cv2.CAP_PROP_FPS, 60) segmentor = SelfiSegmentation() fpsReader = cvzone.FPS() # imgBG = cv2.imread("BackgroundImages/3.jpg") listImg = os.listdir("BackgroundImages") imgList = [] for imgPath in listImg: img = cv2.imread(f'BackgroundImages/{imgPath}') imgList.append(img) indexImg = 0 while True: success, img = cap.read() # imgOut = segmentor.removeBG(img, (255,0,255), threshold=0.83) imgOut = segmentor.removeBG(img, imgList[indexImg], threshold=0.8) imgStack = cvzone.stackImages([img, imgOut], 2,1) _, imgStack = fpsReader.update(imgStack) print(indexImg) cv2.imshow("image", imgStack) key = cv2.waitKey(1) if key == ord('a'): indexImg -=1 elif key == ord('d'): if indexImg<len(imgList)-1: indexImg +=1 elif key == ord('q'): breakThe output screenshots are given below
Output 1 Output 2
The entire code is also available here:
Reference:
My LinkedIn
Thank you
The media shown in this article are not owned by Analytics Vidhya and are used at the Author’s discretion.
Related
How Do I Write Json In Python?
In this article, we will learn different types of methods to write JSON in python.
Conversion RulesWhen converting a Python object to JSON data, the dump() method follows the conversion rules listed below −
Writing Dictionary into a JSON FileThe function of json.dump() is to arrange a Python object into a JSON formatted stream into the specified file.
Syntax dump(obj, fp, *, skipkeys=False, check_circular=True, allow_nan=True, indent=None, separators=None, default=None, sort_keys=False, **kw) Parameters
obj − obj is known as object that arranges as a JSON formatted stream.
fp −the fp also know as file object will store JSON data.
skipkeys − The default value is False. It ignores the Keys of dict that are not of a basic type. Orelse, it will throw a TypeError.
check_circular − It’s default value is True. It’s main task is to perform circular reference check for container types. This sometimes get the output result in an OverflowError.
allow_nan − It’s e default value is True. If false, serializing out-of-range float values will result in a chúng tôi uses JavaScript equivalents like -NaN, Infinity, -Infinity by default.
indent − It is used for good printing with a specified order.
separators − These are the ones used in the JSON.
default − this function is called when an object fails to serialized. It either returns object’s JSON-encoded version or throw a TypeError. If no type is given, a TypeError is defaulty thrown.
sort_keys − It’s default value is False. If true, the dictionaries’ output will be ordered/sorted by key.
ExampleThe following program converts the given dictionary to a JSON file using the json.dump() function −
# importing json module import json # creating a dictionary inputDict = { "website": "Tutorialspoint", "authorName": "xyz", "Age": 25, "Address": "hyderabad", "pincode":"503004" } # opening a JSON file in write mode with open('outputfile.json', 'w') as json_file: # writing the dictionary data into the corresponding JSON file json.dump(inputDict, json_file) OutputOn executing, the above program will generate the following output −
{"website": "Tutorialspoint", "authorName": "xyz", "Age": 25, "Address": "hyderabad", "pincode": "503004"}A file named outputfile.json is created containing the above dictionary data.
Using the Indent ParameterUse the indent parameter of the method dump() for attractive printing.
ExampleThe following program converts the given dictionary to a pretty JSON file with indentation using the json.dump() function and indent argument −
# importing JSON module import json # creating a dictionary inputDict = { "website": "Tutorialspoint", "authorName": "xyz", "Age": 25, "Address": "hyderabad", "pincode":"503004" } # opening a JSON file in write mode with open('outputfile.json', 'w') as json_file: # writing the dictionary data into the corresponding JSON file # by adding indent parameter to make it attractive with proper indentation json.dump(inputDict, json_file, indent=5) OutputOn executing, the above program will generate the following output −
{ "website": "Tutorialspoint", "authorName": "xyz", "Age": 25, "Address": "hyderabad", "pincode": "503004" }A file named outputfile.json is created containing the above dictionary data with a proper indentation for making it more pretty.
Sorting the Keys in JSONWe can sort the keys of a dictionary alphabetically using the sort_keys = True parameter.
The following program converts the given dictionary to a sorted JSON file with indentation using the json.dump() function and sort_keys argument−
# importing JSON module import json # creating a dictionary inputDict = { "website": "Tutorialspoint", "authorName": "xyz", "Age": 25, "Address": "hyderabad", "pincode":"503004" } # opening a JSON file in write mode with open('outputfile.json', 'w') as json_file: # writing the dictionary data into the corresponding JSON file # indent parameter- to make it attractive with proper indentation # sort_keys- sorts the dictionary keys alphabetically json.dump(inputDict, json_file, indent=5, sort_keys=True) Output { "Address": "hyderabad", "Age": 25, "authorName": "xyz", "pincode": "503004", "website": "Tutorialspoint" }The keys are now sorted alphabetically, as seen above.
Separators are an additional argument that can be used. In this, you can use any separator you like (“, “, “: “, “,”, “:”).
Converting Python List to JSON ExampleThe following program converts the python list to JSON string using dumps() function −
# importing JSON module import json # input list inputList = [2, 4, 6, 7] # converting input list into JSON string using dumps() function jsonString = json.dumps(inputList) # printing the resultant JSON string print(jsonString) # printing the type of resultant JSON string print(type(jsonString)) Output [2, 4, 6, 7] Converting Directories Python List to JSON ExampleThe following program converts the Directories python list to JSON string. using dumps() function −
# importing json module import json # input list of dictionaries list_dict = [{'x':10, 'y':20, 'z':30}, {'p':40, 'q':50}] # converting list of dictionaries into json string jsonData = json.dumps(list_dict) # printing the JSON data print(jsonData) Output [{"x": 10, "y": 20, "z": 30}, {"p": 40, "q": 50}] Converting Python List of Lists to JSON ExampleThe following program converts the Python List of Lists to JSON string using dumps() function −
# importing JSON module import json # input list of lists list_of_list = [[{'x':10, 'y':20, 'z':30}], [{'p':40, 'q':50}]] # converting a list of list into JSON string jsonString = json.dumps(list_of_list) # printing the resultant JSON string print(jsonString) Output[[{"x": 10, "y": 20, "z": 30}], [{"p": 40, "q": 50}]]
ConclusionThis article contains a variety of techniques for converting various data formats to JSON files, JSON strings, etc. json.dumps(), which is used to convert any form of iterable to JSON, has also been covered in depth.
What Is Gimp? The Popular, Free Photoshop Alternative
Zak Khan / Android Authority
If you ever had to edit an image, you’ve probably heard of Photoshop. But what about GIMP? When it comes to alternatives to Photoshop, it’s one of the best-known, especially if you do not want to pay for Adobe’s offering and still want a powerful image editor. In this post, we’ll cover what it is, how it works, and how it stacks up versus Photoshop.
GIMP is an image editing program available for Windows, macOS, and Linux.
You can open and edit most common image formats, including JPEG, PNG, GIF, TIFF, and BMP. You can also open Photoshop files, but GIMP may not support every feature. By default, GIMP saves to its own file format, known as XCF. It stores all the changes you make. If you want to save to another format, you must export your image, which may cause you to lose some information, such as undo history or layers. It also supports various color encoding formats, including RGB and CMYK. Furthermore, you can open many forms of RAW files from digital cameras but cannot save to any of these file types.
You can also extend the functionality of the default application with plugins and scripts. These let you implement features not included by default or automate tedious manual tasks. We’ll cover this topic a bit more later.
Is GIMP free?GIMP is free and open source. It is released under GPL. That means it is not sold for profit by the main development team, and all its source code is visible to anyone. Anyone can submit source code for inclusion if it gets approved. You can download GIMP at chúng tôi Note that other people may try to sell you a version of GIMP. While this is technically legal, the original version of the program does not cost anything, and the other people selling it are not affiliated with the GIMP developer team.
Because of its license terms, there are also derivative versions. Some exist to solve specific problems or fit a particular use case. These include CinePaint, which is for frame-by-frame retouching of films, and GimPhoto, which aims to mimic Photoshop more closely. The main team behind GIMP does not maintain these versions; instead, other people or smaller teams do.
What can you do with GIMP?
Yes, GIMP is safe and virus-free. It is maintained by a team of volunteer developers who do not take payment for it.
Yes, GIMP can open Photoshop’s PSD format, but not every feature may work in GIMP.
GIMP was not designed for drawing per se, but many people use it to create digital illustrations anyway and have had success doing so. GIMP includes a paintbrush tool and a paths editor to help create drawings.
Yes, although technically, GIMP only saves in XCF, you can export images to JPEG using GIMP. Be sure to keep a copy in the native XCF format if you want to preserve your layers, undo history, transparency, and other details JPEG does not support.
Yes, GIMP is released under GPL, so it is free and open source.
Update the detailed information about How To Do Photo Retouching In Gimp? on the Moimoishop.com website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!