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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-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.
Go to the image page by clicking on the image thumbnail; Under the image there should be a set of numbers in the form "NNNNxMMMM." This is the size of the image in pixels. If these numbers do not appear, then the image is smaller than the limit you specified for display in the "Files" pane in your preferences.
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.
Name View functions Other functions License; ACDSee: Thumbnails (user-defined sizes), fullscreen, slideshow, zoom, fit, view Exif info, view inside ZIP archives ...
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.
FastStone Image Viewer is an image viewer and organizer software for Microsoft Windows, provided free of charge for personal and educational use. The program also includes basic image editing tools, [ 4 ] like cropping, color adjustment and red-eye removal.
File system Hard links Symbolic links Block journaling Metadata-only journaling Case-sensitive Case-preserving File Change Log XIP Resident files (inline data)
Lanczos windows for a = 1, 2, 3. Lanczos kernels for the cases a = 1, 2, and 3, with their frequency spectra. A sinc filter would have a cutoff at frequency 0.5. The effect of each input sample on the interpolated values is defined by the filter's reconstruction kernel L(x), called the Lanczos kernel.
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