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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.
Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.
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 ...
This format offers file compression ratios around 2:1 for lossless and 5:1 for visually lossless. The second main feature of Genuine Fractals is a scaling algorithm based on the use of PIFS (partitioned iterated function systems). When scaling up, Genuine Fractals exploits the self-similarity of an image to increase its size while preserving ...
Adobe Photoshop: The best in the business, it has lots of plug-ins, is used by professionals, but is relatively expensive, though sometimes older versions can be found for less. GIMP : The GNU Image Manipulation Program is a popular open source software available for Linux , Windows , and macOS .
Yes Filenames, file creation/modification date, Exif date taken, GPS timestamp FastStone Image Viewer: Yes Yes Yes 1:1, 2%-5000% magnifier, click-and-hold zooming, fit width and/or height, lock No Yes 6 predefined sizes Yes database dir-tree, back and forth navigation, bookmarks Yes Yes user-defined, name, date, file size, image size, type ...
In image processing, bicubic interpolation is often chosen over bilinear or nearest-neighbor interpolation in image resampling, when speed is not an issue. In contrast to bilinear interpolation, which only takes 4 pixels (2×2) into account, bicubic interpolation considers 16 pixels (4×4).
A common scenario is to interpolate an image by using a bicubic interpolation which increases the image size by no more than 10% (110% of the original size) at a time until the desired size is reached. [1] Fred Miranda, a developer, popularized this method by creating and developing several Photoshop plug-ins that incorporate this technique. [2]