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32‐1: Weak Sub‐color Sub‐sampling for High Resolution Image Bandwidth Reduction
Author(s) -
Lee Joonhee,
Park Dongwon,
Kim Changgone,
Yoon Sooyoung
Publication year - 2020
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.13902
Subject(s) - computer science , bandwidth (computing) , color image , high color , computer vision , data transmission , artificial intelligence , color depth , image processing , image (mathematics) , computer hardware , telecommunications
This paper provides a novel image processing and interface technique that can reduce its data bandwidth simply without critical image quality degradation so that a real‐time high resolution display system can save its power and cost. It analyzes each sub‐color with respect to its contribution to an original image to decide which sub‐color is the least‐contributed (‘Weak sub‐color data’) and how to reduce its transmission bandwidth. The input image or video data can be converted into a combination of some of original sub‐color data and some of 1: N sub‐sampled sub‐color data having the smallest contribution. If N = 4 for one sub‐color, the data transmission rate is reduced by 25%, and if N > 4 for one sub‐color, the required data bandwidth for transmission can be reduced further. This enables more efficient and low cost implementations in various high resolution display systems.