Color Image Compression Using Vector Quantization and Hybrid Wavelet Transform

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Abstract

This paper presents simpler image compression technique using vector quantization and hybrid wavelet transform. Hybrid wavelet transform is generated using Kronecker product of two different transforms. Image is converted to transform domain using hybrid wavelet transform and very few low frequency coefficients are retained to achieve good compression. Vector quantization is applied on these coefficients to increase compression ratio significantly. VQ algorithms are applied on transformed image and codebooks of minimum possible size 16 and 32 are generated. KFCG and KMCG are faster in execution and beats performance of LBG algorithm. KFCG combined with hybrid wavelet transform gives lowest distortion and acceptable image quality at compression ratio 192.

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APA

Kekre, H. B., Natu, P., & Sarode, T. (2016). Color Image Compression Using Vector Quantization and Hybrid Wavelet Transform. In Procedia Computer Science (Vol. 89, pp. 778–784). Elsevier B.V. https://doi.org/10.1016/j.procs.2016.06.059

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