학술논문
An Image Compression Scheme Based on Block Truncation Coding Using Real-time Block Classification and Modified Threshold for Pixels Grouping
Document Type
Conference
Author
Source
2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA) Image Processing Theory, Tools and Applications (IPTA), 2018 Eighth International Conference on. :1-5 Nov, 2018
Subject
Language
ISSN
2154-512X
Abstract
Block truncation coding (BTC), known as a simple and efficient digital image compression algorithm, its essential is to encode the non-overlapping sub-blocks of input images with a pair of low-/high- quantity levels and a distribution matrix. Absolute Moment Block Truncation Coding (AMBTC) is a widely used modified version of BTC. Based on BTC, we paper propose a new approach by means of an adjusted threshold to classify each sub-block. Then, for those blocks grouped as to be modified we apply a new BTC-based modification method by searching optimized threshold as the replacement of the mean value of sub-blocks in AMBTC for pixels grouping. Experimental results show that, compared with AMBTC, the reconstructed image quality of proposed scheme can be improved by 0.5~0.8dB in Peak signal to noise ratio (PSNR)