Block Prediction Vector Quantization for Grayscale Image Compression

Article type: Research Article

Authors: Hu, Yu-Chen | Lin, Chia-Chen | Chi, Kang-Liang

Affiliations: Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan 433. E-mail: ychu@pu.edu.tw | Department of Computer Science and Information Management, Providence University, Taichung, Taiwan 433

Abstract: This paper presents a new image compression scheme based on vector quantization (VQ) that exploits the inter-block and intra-block correlations in grayscale images. The similar block prediction technique is designed to encode the image blocks by their similar neighboring encoded blocks. Besides, two codebooks are used in the proposed scheme to exploit the intra-block correlation within each image block. Experimental results show that the proposed scheme not only provides good image qualities but also cuts down the required bit rates.

Journal: Fundamenta Informaticae, vol. 78, no. 2, pp. 257-270, 2007