README

A photo editor. It can edit your images in a variety of ways, such as rotating, adjusting brightness, exposure, and changing warmth and tint and so on. In the image editing algorithms section of this project, I didn't use any established image processing libraries like OpenCV or Pillow. Instead, I created my own version of the implementations using NumPy. Pillow is used for read image and write image.

Functionalities

• adjust saturation

• adjust contrast

• adjust exposure

• adjust brightness

• adjust warmth

• adjust tint

• adjust vignette

• black and white image mode

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• laplacian sharpening

  • Identifying edges in an image through a second-order derivative, then reinforcing these edges to make the image appear sharper. Check 8 surrounding neighbors.
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• unsharp masking sharpening

  • Frist, create a blurred version of the image. Second, subtract the blurred image from the original. Thrid, add the difference back to the original image
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• blurring

  • use gaussian filter
  • use multiprocessing to accelerate computation
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• rotate image (-45°<angle<45°)

  • Calculate the maximum inscribed matrix after rotation, maintaining the same aspect ratio. Use a rotation matrix to rotate the pixel matrix, then crop the result to obtain the result image.
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• Rotate the image 90 degrees counterclockwise.

• flip horizontally

• flip vertically

• show exposure histogram

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