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2. Comparison gallery of image scaling algorithms - Wikipedia

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

   An image size can be changed in several ways. Consider resizing a 160x160 pixel photo to the following 40x40 pixel thumbnail and then scaling the thumbnail to a 160x160 pixel image. Also consider doubling the size of the following image containing text.

3. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.

4. How to upgrade from 32-bit to 64-bit version of Windows 10 - AOL

   www.aol.com/news/upgrade-32-bit-64-bit-212659036...

   Once you complete the steps, you can determine whether the device runs the 32-bit version of Windows 10 on a 64-bit processor. However, if it reads "32-bit operating system, x86-based processor ...

5. JPEG - Wikipedia

   en.wikipedia.org/wiki/JPEG

   For most applications, the quality factor should not go below 0.75 bit per pixel (Q=12.5), as demonstrated by the low quality image. The image at lowest quality uses only 0.13 bit per pixel, and displays very poor color. This is useful when the image will be displayed in a significantly scaled-down size.

6. Color depth - Wikipedia

   en.wikipedia.org/wiki/Color_depth

   If an alpha channel of the same size is added then there are 64 bits per pixel. Image editing software such as Adobe Photoshop started using 16 bits per channel fairly early in order to reduce the quantization on intermediate results (i.e. if an operation is divided by 4 and then multiplied by 4, it would lose the bottom 2 bits of 8-bit data ...

7. Pixel-art scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Pixel-art_scaling_algorithms

   Next, the rotated image is created with a nearest-neighbor scaling and rotation algorithm that simultaneously shrinks the big image back to its original size and rotates the image. Finally, overlooked single-pixel details are (optionally) restored if the corresponding pixel in the source image is different and the destination pixel has three ...