Affiliations: Department of Computer Science and Information
Management, Providence University, Taichung, 433, Taiwan. [email protected] | Department of Computer Science and Information
Engineering, National United University, Miaoli, 360, Taiwan.
[email protected] | Department of Computer Science and Information
Engineering, Providence University, Taichung, 433, Taiwan. [email protected]
Note: [] Address for correspondence: Department of Computer Science and
Information Management, Providence University, Taichung, 433, Taiwan
Abstract: A low bit rate image coding scheme based on vector quantization is
proposed. In this scheme, the block prediction coding and the relative
addressing techniques are employed to cut down the required bit rate of vector
quantization. In block prediction coding, neighboring encoded blocks are taken
to compress the current block if a high degree of similarity between them is
existed. In the relative addressing technique, the redundancy among neighboring
indices are exploited to reduce the bit rate. From the results, it is shown
that the proposed scheme significantly reduces the bit rate of VQ while keeping
good image quality of compressed images.
Keywords: Image Compression, Vector Quantization, Bit Rate Reduction, Block Prediction
