lossy compression

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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.
Webster's Revised Unabridged Dictionary, published 1913 by G. & C. Merriam Co.
References in periodicals archive
Like JPEG2000, this is based on wavelet compression, and was finalised in 2008.
Khashman and Dimililer [15] have proposed a medical compression using a neural network with a Haar wavelet compression with nine compression ratios and a supervised neural network that learns to associate the image intensity (pixel values) with a single optimized compression ratio.
The pressure data signal of NPW is transformed to wavelets and then wavelet compression and denoising are performed, respectively, followed by the event detection algorithm.
introduced energy-aware distributed wavelet compression algorithms for WSN.
It is these temporal and magnitude relationships between coefficients that are exploited by wavelet compression algorithms, such as SPIHT.
The high-density TVG450 enables APAC-based broadcasters, network operators and video professionals to utilise the advantages of high-quality JPEG2000 wavelet compression and the choice of ATM, SDH and IP connectivity.
The large internal storage capacity, combined with efficient wavelet compression, translates to a "window of opportunity" of up to 3 months of retrievable data.
Two popular block compression techniques are the JPEG (Joint Photographic Experts Group) standard and wavelet compression. JPEG uses both Huffman and run length encoding schemas for compressing images to reduce the volume of data.
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