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

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scoliosis

Image Demosaicing,rough 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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DCT-Based Color Image Denoising: Efficiency Analysis and Prediction,techniques 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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Impulsive Noise Filters for Colour Images,vice (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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Cardiac

The Color Logarithmic Image Processing (CoLIP) Antagonist Space,ly 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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昆蟲(chóng)

A GPU-Accelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Alge 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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Color Equalization and Retinex,ther 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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