  Vector Quantization, VQ is a popular image compression technique with a
simple decoding architecture and high compression ratio. Codebook designing is
the most essential part in Vector Quantization. LindeBuzoGray, LBG is a
traditional method of generation of VQ Codebook which results in lower PSNR
value. A Codebook affects the quality of image compression, so the choice of an
appropriate codebook is a must. Several optimization techniques have been
proposed for global codebook generation to enhance the quality of image
compression. In this paper, a novel algorithm called IDE-LBG is proposed which
uses Improved Differential Evolution Algorithm coupled with LBG for generating
optimum VQ Codebooks. The proposed IDE works better than the traditional DE
with modifications in the scaling factor and the boundary control mechanism.
The IDE generates better solutions by efficient exploration and exploitation of
the search space. Then the best optimal solution obtained by the IDE is
provided as the initial Codebook for the LBG. This approach produces an
efficient Codebook with less computational time and the consequences include
excellent PSNR values and superior quality reconstructed images. It is observed
that the proposed IDE-LBG find better VQ Codebooks as compared to IPSO-LBG,
BA-LBG and FA-LBG.
