Title: Effective compression and decompression coding techniques using multilevel DWT decomposition and DCT

Authors: Rajeev Kumar; Jainath Yadav

Addresses: Department of Computer Science, Central University of South Bihar, Gaya, 824232, India ' Department of Computer Science, Central University of South Bihar, Gaya, 824232, India

Abstract: Data compression was introduced to utilise the available bandwidth efficiently and also to reduce the storage capacity. This paper presents effective compression and decompression coding techniques using the multilevel decomposition of discrete wavelet transform (DWT) and discrete cosine transform (DCT) methods. The input image is divided into three components/channels. Arithmetic and Huffman Coding are applied separately on quantized sub-bands on second as well as third-level coefficients to get high Compression Ratio and high PSNR values. On the LL3 sub-band, the DCT has been applied to reduce the blocking effect. The experimental evaluation shows that the proposed AC exhibits higher CR than the proposed HC, but smaller PSNR values. We have also compared our scheme with the existing schemes, and it has been observed that the CR values of the proposed method are higher than the CR values of existing schemes. The higher CR values of our proposed scheme save more memory space than the existing schemes.

Keywords: image compression; DWT; discrete wavelet transform; DCT; discrete cosine transform; AC; arithmetic coding; HC; Huffman coding; CR; compression ratio; PSNR.

DOI: 10.1504/IJSISE.2021.10041253

International Journal of Signal and Imaging Systems Engineering, 2021 Vol.12 No.3, pp.71 - 80

Accepted: 07 Mar 2021
Published online: 04 Oct 2021 *

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