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/10.1007/978-981-13-0086-8ge color images. This chapter presents a real-time implementation of an adaptive contrast-enhancing image dynamic range compression algorithm on a graphics processing unit (GPU) for color image enhancement. To achieve this purpose, an image-dependent nonlinear intensity transfer function is first pr

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https://doi.org/10.1007/978-981-13-0086-8ther discern colors nor adapt to different imaging environments as a human does. Consequently, it may produce images having a bad visual effect under a bad imaging environment. Color equalization and color constancy are two efficient and common techniques for image visual effect enhancement. In this

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https://doi.org/10.1007/978-981-13-7185-1automatic, without the user’s effort, however, the semi-automatic methods are usually more flexible and useful. In this chapter, we start with a literature overview, where we enumerate and shortly characterize numerous state-of-the-art methods. Then, we present the details of one fully automatic and

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Facial Aging: a Clinical Classificationlor space more suitable for compression, subsequent analysis, or visualization. The choice of this transform becomes even more critical when operating in distributed and low-computational power environments, such as visual sensor networks or remote sensing. Data-driven transforms are rarely used due

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Emre Celebi,Michela Lecca,Bogdan SmolkaFocuses on enhancement of color images/video.Addresses algorithms for enhancing color images and video.Presents coverage on super resolution, restoration, in painting, and colorization.Includes supple

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