Webwaves: Lossless vs lossy compression
نویسندگان
چکیده
منابع مشابه
Lossless and Lossy Data Compression
Data compression (or source coding) is the process of creating binary representations of data which require less storage space than the original data 7; 14; 15]. Lossless compression is used where perfect reproduction is required while lossy compression is used where perfect reproduction is not possible or requires too many bits. Achieving optimal compression with respect to resource constraint...
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This paper presents a method of scalable lossless image compression by means of lossy coding. A progressive decoding capability and a full decoding for the lossless rendition are equipped with the losslessly encoded bit stream. Embedded coding is applied to largeamplitude coefficients in a wavelet transform domain. The other wavelet coefficients are encoded by a context-based entropy coding. Th...
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The use of the discrete wavelet transform (DWT) for embedded lossy image compression is now well established. One of the possible implementations of the DWT is the lifting scheme (LS). Because perfect reconstruction is granted by the structure of the LS, nonlinear transforms can be used, allowing efficient lossless compression as well. The integer wavelet transform (IWT) is one of them. This is...
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Compression is built into a broad range of technologies like storage systems, databases, operating systems and software applications. It refers to the process of reducing the quantity of data used to represent the content without excessively reducing the quality of the original data. Their main purpose is to reduce the number of bits required to store and/or transmit digital media in a cost eff...
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An alternative approach to two-part ’critical compression’ is presented. Whereas previous results were based on summing a lossless code at reduced precision with a lossy-compressed error or noise term, the present approach uses a similar lossless code at reduced precision to establish absolute bounds which constrain an arbitrary lossy data compression algorithm applied to the original data.
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ژورنال
عنوان ژورنال: Preview
سال: 2020
ISSN: 1443-2471,1836-084X
DOI: 10.1080/14432471.2020.1751792