A Neural Network Approach for Color Image Compression in Transform Domain
نویسنده
چکیده
This paper presents a novel technique for color image compression in the transform domain. For compression of images vector quantization (VQ) technique is used and the codebook in VQ is designed using Kohonen’s Self Organizing Feature Maps (SOFM). This work exploits the special features of SOFM for generic codebook generation that enables to construct the codebook only once. Apart from spatial quantizers, we implemented the generic codebook approach in transform domains such as DCT and DWT. The performance of decompression is observed by using image quality measures such as PSNR, Structural Content, Image Fidelity and Mean Structural Similarity Index of the images on HSV color space. This scheme produces the reconstructed image of good quality and achieves better compression ratio at low bit rates. Index Terms – VQ, generic codebook, color image compression, SOFM, quality measures
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