首页|New Computational Intelligence Findings from University of Macau Described (Simu ltaneously Learning Deep Quaternion Reconstruction and Noise Convolutional Dicti onary for Color Image Denoising)
New Computational Intelligence Findings from University of Macau Described (Simu ltaneously Learning Deep Quaternion Reconstruction and Noise Convolutional Dicti onary for Color Image Denoising)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing-Computational Intelligence have been published. According to news reportin g originating in Macau, People's Republic of China, by NewsRx journalists, resea rch stated, "Recently, many deep convolutional dictionary learning-based methods,integrating the traditional image representation methods with deep neural netw orks, have achieved great success in various image processing tasks. However, th e existing approaches can be further improved with the following considerations: (1) They congenitally suffer from the high cross-channel correlation loss for c olor image processing tasks since they usually treat each color channel independ ently, not in a whole perspective. (2) They only build up a single reconstructio n dictionary learning model to directly approximate images using several single dictionary atoms, which cannot make full use of the representative ability of th e model."
MacauPeople's Republic of ChinaAsiaComputational IntelligenceMachine LearningUniversity of Macau
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