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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.
This page was last edited on 14 September 2024, at 10:10 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
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.
An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.
The size of raster image files is positively correlated with the number of pixels in the image and the color depth (bits per pixel). Images can be compressed in various ways, however. A compression algorithm stores either an exact representation or an approximation of the original image in a smaller number of bytes that can be expanded back to ...
user-defined, name, date, file size, image size, type Geeqie: Yes Yes Yes fit, 1:1, in/out Yes previous, next Yes 24x24 - 256x256 Yes as png-files centrally or in sub-dir list, dir-tree, collection Yes Yes collections, keywords, directory gThumb: Yes Yes random, forward, reverse Yes fit, 1:1, remember, fit-if-larger, in/out Yes 48x48 - 256x256 ...
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