Signature recognition using vector quantization
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Iris recognition using discrete cosine transform and Kekre's fast codebook generation algorithm
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Image retrieval by Kekre's transform applied on each row of Walsh transformed VQ codebook
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
A comparative study of DCT and Kekre's median code book generation algorithm for face recognition
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Coloring gray scale digital images using Kekre's fast code book generation algorithm
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Kekre's Fast Codebook Generation algorithm for tumor detection in mammography images
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Vector quantization using global codebook technique
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Online signature recognition using Kekre's vector quantization algorithms KMCG & KFCG
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Hi-index | 0.00 |
In this paper we present a very simple and yet effective algorithm to generate codebook. The algorithm uses sorting method to generate codebook and the codevectors are obtained by using median approach. The proposed algorithm was experimented on six different images each of size 512x512 and four different codebooks of sizes 128, 256, 512 and 1024 are generated. The proposed algorithm is found to be much faster than the LBG and KPE algorithm. The performance of this algorithm is better than LBG and KPE algorithms considering MSE, PSNR and execution time. The proposed algorithm gives less MSE as compared to the LBG for the codebooks of sizes 128, 256, 512 & 1024 respectively. It also gives higher PSNR as compared to LBG for the codebooks of various sizes.