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http://dx.doi.org/10.5573/ieie.2015.52.3.067

Multi-Mode BTC Image Compression Algorithm for LCD Overdriving  

Cho, Moonki (Div. of Electronic Engineering, Inha University)
Yoon, Yungsup (Div. of Electronic Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.3, 2015 , pp. 67-74 More about this Journal
Abstract
BTC (Block Truncation Coding) image compression is simple to implement by hardware and has excellent edge retention capability of image, image compression techniques are widely used in LCD overdrive. In this paper, to maintain high visual quality and has high compression rate, Multi-Mode BTC (MM-BTC) algorithm is proposed. The MM-BTC has high compression rate using advanced Y-based BTC method and has high visual quality using improved 2-level and 4-level BTC method in this paper. As shown in simulation results, MM-BTC improves still image PSNR (Peak Signal to Noise Ratio) up to 2.34 dB as compared with other algorithms. When the MM-BTC is applied to LCD overdrive, MM-BTC improves moving picture PSNR up to 2.33 dB as compared with other algorithms in literature.
Keywords
LCD; overdrive technique; block truncation coding; advanced Y-based BTC;
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