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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.
In May 2005, when the first beta of iMage (the original name of LiveQuartz) was released, its singularity was that it was the first graphic editor to use two new Mac OS X Tiger frameworks: Core Image and Core Data. LiveQuartz was also, back in early 2005, the first Mac OS X image editing app to use a unique window user interface without "palettes".
Image stabilization (IS) is a family of techniques that reduce blurring associated with the motion of a camera or other imaging device during exposure.. Generally, it compensates for pan and tilt (angular movement, equivalent to yaw and pitch) of the imaging device, though electronic image stabilization can also compensate for rotation about the optical axis (). [1]
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.
no view window, fit to viewing area, 1:1, zoom to 400% No Yes user defined Yes database directory-tree, albums, timeline Yes Partial name, date, size, user-defined Shotwell: Yes Yes Yes No Yes fixed size Yes Thumbs, Events (dates), tags Yes Yes Title, Exposure Date STDU Viewer: Yes No: Yes fit to width, fit to height, fit to size No: Yes: No ...
The image quality has been lost. No quality is lost however, with the lens zoomed-in optically for the bottom photo. Typically, the digital zoom is not available until the optical zoom has been exhausted. Digital zoom is a method of decreasing the precise angle of view of a digital photograph or video image.
Specifically, unsharp masking is a simple linear image operation—a convolution by a kernel that is the Dirac delta minus a gaussian blur kernel. Deconvolution, on the other hand, is generally considered an ill-posed inverse problem that is best solved by nonlinear approaches.
The Deep Zoom file format is very similar to the Google Maps image format where images are broken into tiles and then displayed as required. The tiling typically follows a quadtree pattern of increasing resolution of image (in other words twice the zoom and twice the resolution).
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