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2. Seam carving - Wikipedia

   en.wikipedia.org/wiki/Seam_carving

   Original image to be made narrower Scaling is undesirable because the castle is distorted. Cropping is undesirable because part of the castle is removed. Seam carving. Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL.

3. Median filter - Wikipedia

   en.wikipedia.org/wiki/Median_filter

   The median filter operates by considering a local window (also known as a kernel) around each pixel in the image. The steps for applying the median filter are as follows: Window Selection: Choose a window of a specific size (e.g., 3x3, 5x5) centered around the pixel to be filtered. For our example, let’s use a 3x3 window. Collect Pixel Values:

4. Image tracing - Wikipedia

   en.wikipedia.org/wiki/Image_tracing

   If the original image is on paper and is scanned, there is a similar result: edge pixels will be gray. Sometimes images are compressed (e.g., JPEG images), and the compression will introduce gray levels. Many of the vectorization programs will group same-color pixels into lines, curves, or outlined shapes.

5. Paintbrush (software) - Wikipedia

   en.wikipedia.org/wiki/Paintbrush_(software)

   It includes a simple brush-based freehand drawing tool, an eraser tool, a select tool, a freehand spray can tool which applies several pixels onto an area instead of just one, a fill tool, a "bomb" tool that clears the page, a line tool, a curve tool, square, circle/oval, and rounded square tools, text tool, a color picker/eyedropper, and a zoom in/zoom out tool.

6. Kernel (image processing) - Wikipedia

   en.wikipedia.org/wiki/Kernel_(image_processing)

   Machine learning mainly uses this approach. Example: Kernel size 10x10, image size 32x32, result image is 23x23. Kernel Crop Any pixel in the kernel that extends past the input image isn't used and the normalizing is adjusted to compensate. Constant Use constant value for pixels outside of image. Usually black or sometimes gray is used.

7. Comparison gallery of image scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Comparison_gallery_of...

   One of the simpler ways of increasing the size, replacing every pixel with a number of pixels of the same color. The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest ...