Title: Image/Video Compression Using Neuro-Fuzzy Techniques
Abstract: The phenomenal increase in generation, transmission, and use of digital images and video in various applications, is placing an enormous demand on storage space and communication bandwidth.Data compression is a viable approach to alleviate such storage and bandwidth demands and enables applications such as digital video broadcasting, video streaming over internets, and mobile videophones, which were impracticable only a few years ago [6, 18, 22, 55, 71]. Image/ video compression concerns transmitting image/video data with as much high quality and low bandwidth as possible,within a processing time acceptable by the user. Two types of compression are possible, i.e., lossless and lossy.With lossless compression, there is no loss of information and therefore the image can be perfectly recovered. Lossy compression, on the other hand, is a trade-off, which results in less amount of data with a sacrifice to fidelity.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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