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

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Enhancement of Image Content for Observers with Colour Vision Deficiencies,ecognition and differentiation. As the use of colour to convey visual information in contemporary digital environment increases, it becomes more justified to tackle the issue of information accessibility. What colour-impaired observers actually see is of high value for understanding their visual pro
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https://doi.org/10.1007/978-3-030-20411-2rough a color filter array. Traditional interpolation strategies generate undesirable color artifacts in the demosaiced image, so as a result, many specialized algorithms have been developed to improve performance. In this chapter, we introduce the demosaicing problem and explore five representative
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Dariusz Grech,Janusz Miśkiewicztechniques have been proposed, they are not universally efficient in all considered practical situations. There are also contradictory requirements to color image denoising and their priority can be different and strongly dependent on the situation at hand. This also complicates the choice of a prop
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Maryanthe Malliaris,Assaf Peretzvice (CCD) sensor malfunction, transmission errors, storage faults and difficult acquisition conditions. The presence of noise hampers the automatic processing of digital images and also affects their visualization quality. In this context, colour images may be contaminated by several types of noise
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https://doi.org/10.1007/978-981-13-0086-8ly well justified since it is consistent with several human visual perception laws and characteristics. It is mathematically and computationally relevant since it allows to consider color images as vectors in an abstract linear space, contrary to the classical color spaces (e.g., RGB and .). The fir
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