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Image editing encompasses the processes of altering images, whether they are digital photographs, traditional photo-chemical photographs, or illustrations. Traditional analog image editing is known as photo retouching, using tools such as an airbrush to modify photographs or editing illustrations with any traditional art medium. Graphic software programs, which can be broadly grouped into vector graphics editors, raster graphics editors, and 3D modelers, are the primary tools with which a user may manipulate, enhance, and transform images. Many image editing programs are also used to render or create computer art from scratch.

Contents

• 1Basics of image editing
• 2Automatic image enhancement
• 3Digital data compression
• 4Image editor features
  • 4.1Selection
  • 4.2Layers
  • 4.3Image size alteration
  • 4.4Cropping an image
  • 4.5Cutting out a part of an image from the background
  • 4.6Histogram
  • 4.7Noise reduction
  • 4.8Removal of unwanted elements
  • 4.9Selective color change
  • 4.10Image orientation
  • 4.11Perspective control and distortion
  • 4.12Lens correction
  • 4.13Enhancing images
  • 4.14Sharpening and softening images
  • 4.15Selecting and merging of images
  • 4.16Slicing of images
  • 4.17Special effects
  • 4.18Stamp Clone Tool
  • 4.19Change color depth
  • 4.20Contrast change and brightening
  • 4.21Gamma correction
  • 4.22Color adjustments
  • 4.23Dynamic blending
  • 4.24Printing
  • 4.25Warping
• 5See also
• 6References
• 7

  Cutting out a part of an image from the background[edit]

  Using a selection tool, the outline of the figure or element in the picture is traced/selected, and then the background is removed. Depending on how intricate the "edge" is this may be more or less difficult to do cleanly. For example, individual hairs can require a lot of work. Hence the use of the "green screen" technique (chroma key) which allows one to easily remove the background.

  Histogram[edit]

  Main article: Curve (tonality)
  Image editors have provisions to create an image histogram of the image being edited. The histogram plots the number of pixels in the image (vertical axis) with a particular brightness value (horizontal axis). Algorithms in the digital editor allow the user to visually adjust the brightness value of each pixel and to dynamically display the results as adjustments are made. Improvements in picture brightness and contrast can thus be obtained.^[1]