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Color Image Compression Using Vector Quantization and Hybrid Wavelet Transform

机译:使用矢量量化和混合小波变换的彩色图像压缩

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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.
机译:本文提出了一种使用矢量量化和混合小波变换的更简单的图像压缩技术。混合小波变换是使用两个不同变换的Kronecker乘积生成的。使用混合小波变换将图像转换到变换域,并且保留很少的低频系数以实现良好的压缩。将矢量量化应用于这些系数以显着提高压缩率。 VQ算法应用于变换后的图像,并生成最小可能大小为16和32的代码本。 KFCG和KMCG的执行速度更快,并且优于LBG算法。结合混合小波变换的KFCG在压缩比192时提供最低的失真和可接受的图像质量。

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