Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Undecimated Dual Tree Complex Wavelet Transform (UDTCWT) is introduced together with its application to image denoising. The UDT-CWT extends the traditional DT-CWT using the methods of filter upsampling and the removal of downsampling developed for the Undecimated Discrete Wavelet Transform (UDWT). The UDTCWT results in a one-to-one relationship beten co-located complex coefficients in all subbands and offers improved lor scale subband localisation together with improved directional selectivity (compared to the UDWT). These properties of the UDT-CWT have been exploited in the presented bivariate shrinkage denoising algorithm and gives quantitative improvements in the application to the denoising of images.
['Paul R. Hill', 'Alin Achim', 'David Bull']
I am writing a research paper on a idea The Undecimated Dual Tree Complex Wavelet Transform and its application to bivariate image denoising using a Cauchy model
[{"from": "human", "value": "I am writing a research paper on a idea The Undecimated Dual Tree Complex Wavelet Transform and its application to bivariate image denoising using a Cauchy model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Undecimated Dual Tree Complex Wavelet Transform (UDTCWT) is introduced together with its application to image denoising. The UDT-CWT extends the traditional DT-CWT using the methods of filter upsampling and the removal of downsampling developed for the Undecimated Discrete Wavelet Transform (UDWT). The UDTCWT results in a one-to-one relationship beten co-located complex coefficients in all subbands and offers improved lor scale subband localisation together with improved directional selectivity (compared to the UDWT). These properties of the UDT-CWT have been exploited in the presented bivariate shrinkage denoising algorithm and gives quantitative improvements in the application to the denoising of images."}]