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Pachauri et al., 2019 - Google Patents

RGB Image Compression using Multi-level Block Trunction Code Algorithm

Pachauri et al., 2019

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Document ID
17926505642470500088
Author
Pachauri A
Singh G
Publication year

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This paper aims to proposed multi-level block truncation code (BTC) based image compression of continuous tone still image to achieve low bit rate and high quality. The algorithm has been proposed by combining bit map and quantization. The algorithms are …
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Classifications

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    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/124—Quantisation
    • H04N19/126—Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
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    • H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
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    • H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
    • H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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