Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Vector quantization techniques are currently favored in speech compression. Recently a nonadaptive form of vector quantization was proposed for monochrome image compression. , color picture compression by adaptive vector quantization is presented. Both spatial and spectral redundancy is exploited. Adaptive vector quantization of color pictures is shown to produce better mean-square-error result than block cosine transform coding, for the same data rate. No statistical image model is assumed. Decoding is a simple process of table look-up, permitting video-rate decoding, thus only a small refresh memory containing the codewords is necessary.
['P.R. Boucher', 'Morris Goldberg']
I am writing a research paper on a idea Color image compression by adaptive vector quantization
[{"from": "human", "value": "I am writing a research paper on a idea Color image compression by adaptive vector quantization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Vector quantization techniques are currently favored in speech compression. Recently a nonadaptive form of vector quantization was proposed for monochrome image compression. , color picture compression by adaptive vector quantization is presented. Both spatial and spectral redundancy is exploited. Adaptive vector quantization of color pictures is shown to produce better mean-square-error result than block cosine transform coding, for the same data rate. No statistical image model is assumed. Decoding is a simple process of table look-up, permitting video-rate decoding, thus only a small refresh memory containing the codewords is necessary."}]