Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  address the texture retrieval problem using wavelet distribution.  propose a new statistical scheme to represent the marginal distribution of the wavelet coefficients using a mixture of generalized Gaussian distributions (MoGG). The MoGG allows to capture a wide range of histogram shapes, which provides a better description of texture and enhances texture discrimination.  propose a similarity measurement based on Kullback-Leibler distance (KLD), which is calculated using MCMC Metropolis-Hastings sampling algorithm.  show that our approach yields better texture retrieval results than previous methods using only a single probability density function (pdf) for wavelet representation, or texture energy distribution.
['Mohand Said Allili']
I am writing a research paper on a idea Wavelet-Based Texture Retrieval Using a Mixture of Generalized Gaussian Distributions
[{"from": "human", "value": "I am writing a research paper on a idea Wavelet-Based Texture Retrieval Using a Mixture of Generalized Gaussian Distributions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  address the texture retrieval problem using wavelet distribution.  propose a new statistical scheme to represent the marginal distribution of the wavelet coefficients using a mixture of generalized Gaussian distributions (MoGG). The MoGG allows to capture a wide range of histogram shapes, which provides a better description of texture and enhances texture discrimination.  propose a similarity measurement based on Kullback-Leibler distance (KLD), which is calculated using MCMC Metropolis-Hastings sampling algorithm.  show that our approach yields better texture retrieval results than previous methods using only a single probability density function (pdf) for wavelet representation, or texture energy distribution."}]