MPEG

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Related to Lossy compression: Lossless compression
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a set of standards adopted by the moving pictures experts group for the compression of digital video and audio data or a file of data compressed according to those standards

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References in periodicals archive ?
Pearlman, "An image multiresolution representation for lossless and lossy compression," IEEE Transactions on Image Processing, vol.
Incorporating lossy compression at appropriate points in the data supply chain can reduce data volumes without impacting the overall quality.
Joint Photographic Expert Group (JPEG) is a lossy compression technique to store 24 bit photographic images.
Normally the compression of the lossy compression efficiency is higher than the efficiency of lossless compression.
Thus, at any quality factor used for lossy compression of the cloned image, an indicator of the corresponding blocks of clone and prototype images [B.
Mapping a large data set into a small one results in lossy compression.
However, WZ makes use of lossy compression scheme assuming that the sources are mutually Gaussian i.
Besides the lossless compression, a lossy compression, obtained by thresholding small values would offer good quality over a small band with network.
Lossy compression techniques can achieve higher Compression Ratio (CR) at the cost of Peak Signal to Noise Ratio (PSNR) (Cardoso and Saniie, 2004).
In contrast, the lossy compression methods discard some of data considered redundant in producing the original or near to original data during de-compression.
9) These latter two categories usually include both products of lossless compression and results of lossy compression where the reduction of information cannot be noted by the human observer (i.
Texture is encoded by lossy compression in a way similar to minimum description length (MDL) principle, but here the length of the data given the model is approximated by the number of samples times the entropy of the model.
However unlike PNG, WebP allows lossy compression of images with transparency.
Conversely, lossy compression does not allow for perfect reconstruction of the data, but has the advantage that much higher CRs can be obtained.
Data compression methods can be divided into two categories: Lossless Compression methods without losing any part of the data and Lossy Compression methods.