Image Compression Using Vector Quantization

Abstract

Compressing image data by using Vector Quantization (VQ)[1]-[3] will compare Training Vectors with Codebook. The result is an index of position with minimum distortion. The implementing Random Codebook will reduce the image quality. This research presents the Splitting solution [4],[5] to implement the Codebook, which improves the image quality[6] by the average Training Vectors, then splits the average result to Codebook that has minimum distortion. The result from this presentation will give the better quality of the image than using Random Codebook.