Titlebook: Color Image and Video Enhancement; Emre Celebi,Michela Lecca,Bogdan Smolka Book 2015 Springer International Publishing Switzerland 2015 Cl

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https://doi.org/10.1007/978-981-13-0086-8 is implemented on the GPU by using NVIDIA Compute Unified Device Architecture (CUDA), achieving real-time performance in processing high-resolution color images. The proposed GPU-accelerated color image enhancement method had been implemented on a NVIDIA NVS 5200M GPU. Experimental results show tha

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https://doi.org/10.1007/978-981-13-0086-8at is, daltonization methods, for adapting confusing image colours perceived as the same by colour-deficient viewers and, thus, enhancing their perceived image quality and accessibility in retrieving information.

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Maryanthe Malliaris,Assaf Peretzrocessing of digital images and also affects their visualization quality. In this context, colour images may be contaminated by several types of noise and they have been widely studied in the literature.

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Impulsive Noise Filters for Colour Images,rocessing of digital images and also affects their visualization quality. In this context, colour images may be contaminated by several types of noise and they have been widely studied in the literature.

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Dariusz Grech,Janusz Mi?kiewiczalyzed and compared using only standard metrics (criteria) often ignoring recently designed visual quality metrics. Finally, before starting applying image denoising, it is good to understand how efficient can it be and is it worth to perform such afiltering. Then, the task of predicting denoising efficiency becomes very interesting.

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