Supervised‐learning‐based algorithm for color image compression
A correlation exists between luminance samples and chrominance samples of a color image. It is beneficial to exploit such interchannel redundancy for color image compression. We propose an algorithm that predicts chrominance components Cb and Cr from the luminance component Y. The prediction model i...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Electronics and Telecommunications Research Institute (ETRI)
2019-10-01
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Series: | ETRI Journal |
Subjects: | |
Online Access: | https://doi.org/10.4218/etrij.2018-0557 |