Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images
Year: 2012
Type: article
Abstract: 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.
DOI: 10.5120/5719-7780
Authors: S.Vimala S.Vimala, K. Kowsalya Devi, M. Sathya
Institution: Mother Teresa Women's University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2165937780