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http://dx.doi.org/10.5573/ieek.2013.50.6.114

BTC Algorithm Utilizing Multi-Level Quantization Method for Image Compression  

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.50, no.6, 2013 , pp. 114-121 More about this Journal
Abstract
BTC image compression is a simple and easy hardware implementation, is widely used in a video compression techniques required for LCD overdrive. In this paper, methods for reducing compression loss, a multi-level quantization BTC (MLQ-BTC) algorithm is proposed. The process of the MLQ-BTC algorithm is, a input image is compressed and decompressed by Quasi 8-level method and Advanced 2-level BTC method, and select the algorithm with the smallest compression loss. Simulation results show that the proposed algorithm is efficient as compared with PSNR and compression ratio of the existing BTC methods.
Keywords
overdrive technique; image compression; block truncation coding; multi-level Quantization;
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