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

PUT

DCT-Based Color Image Denoising: Efficiency Analysis and Prediction,alyzed 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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synovitis

Book 2015 it pertains to contrast enhancement, color correction (equalization, harmonization, normalization, balancing, constancy, etc.), noise removal and smoothing. This book also discusses color and contrast enhancement in vision sensors and applications of image and video enhancement.

细微差别

https://doi.org/10.1007/978-3-030-20411-2 categories of the existing demosaicing algorithms. The performance of 12 competing algorithms is compared, thanks to classic criteria. The chapter finishes with some more sophisticated approaches to the demosaicing problem that are currently being actively studied.

VOC

https://doi.org/10.1007/978-981-13-0086-8is chapter, we review the commonly used color correction techniques for MVV, with a focus on coding applications. Experimental evaluations of the most prominent methods are provided to give the reader the opportunity to compare their performances in terms of visual effect, coding performance, and rendering quality.