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Vector Quantization (VQ) is one of the Lossy Image Compression Techniques. Vector Quantization is performed in three phases: 1.CodeBook Generation, 2.Image Encoding and 3.Image Decoding. In this paper, we have proposed a novel idea of incorporating the technique of Interpolation as part of the existing codebook generation technique to further reduce the bit-rate that is obtained. Experiments were carried over standard images like Lena, Cameraman, Boats, Bridge, Baboon, Goldhill, and Kush. According to the simulated results, the proposed algorithm achieves significant reduction in bit-rate for codebooks of various sizes such as 16, 32, 64, 128, 256 and 512. General Terms Image Processing, Compression, Vector Quantization.

Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images