lossy compression


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Related to lossy compression: Lossless compression

los´sy com`pres´sion


n.1.(Computers) The compression of binary data into a form which, when it is re-expanded, has most, but not all, of the original information. It is used primarily for compression of images and sounds, and is designed to provide a high degree of compression at the cost of a slight loss of data. It is expemplified by the JPEG compression standard. Images compressed by a lossy compression algorithm are re-expanded into an image close, but not identical to the original image; the difference between the original and the reconstructed image may be imperceptible to normal viewing by the eye.
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Comparison of lossy compression is difficult, as the quality is inherently subjective.
Transform coding and predictive coding are the two types of lossy compression approaches.
2) No standard can be in the same yard flow at the same time provide high-performance lossy compression and lossless compression.
In particular, efficiency of clone/prototype areas detection needs improvement under conditions of lossy compression in case when the cloning aims the hiding of an object (objects) using the prototype which is a part of the DI background area.
It cannot use the lossy compression technique because it needs to recover the exact original file from the compressed file.
For lossy compression, distortion was characterized by a) The peak signal to noise ratio (PSNR), which for an 8-bit decompressed image is defined as [22, 23]:
ASC compression is a lossy type of compression, that differs from other types of lossy compression because it removes themain amount of data before any complex mathematical functions are executed.
In lossy compression algorithms the stage that follows the transformation is an approximation of the floating-point transform coefficients in a set of integers.
In contrast, lossy compression introduces inaccuracies when compared to the original data.
The WZ is a lossy compression technique with the Side Information (SI) feature at the decoder.
The second approach (and the one most commonly used) is lossy compression, in which not only is truly redundant information removed, but some fine detail is also removed--the idea being that the human visual system will largely be unable to tell the difference between the original and the modified versions.