retinex


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retinex 

A theory proposed to explain colour and brightness perception and constancies. It postulates that the colour of an object is not determined by the spectral composition of the light stimulus coming from an object, but is determined by information obtained from a comparison of three lightnesses generated by the light absorption of the three types of cone cell. The name of the theory 'retinex' reflects the fact that the perception of the image results from the retina and the cortex. See pigment visual.
References in periodicals archive ?
Moreover, the MSR algorithm outperformed the Luminance Based Multi Scale Retinex (LB_MSR) [40], Luminance (Y) Inphase (I) Quadrature (Q) MSR (YIQ_MSR) [41], and Non Linear Transformation (NTF) [42] techniques in terms of visual appearance, brightness, computational cost, Entropy, and PSNR values.
27] Setty S, Srinath N, and Hanumantharaju M, "Development of multiscale retinex algorithm for medical image enhancement based on multi-rate sampling," in Proc.
Enhancement of the Underwater Images Using Modified Retinex Algorithm, Al-Mustansiriyah Journal of Science vol 24 Iss: 5, Pages: 511-518.
A Multi-scale Retinex for Bridging the Gap between Color Images and the Human Observation of Scenes, IEEE Trans.
The Retinex algorithms enhance the image using the constancy of human vision, dynamic range compression and color rendition [5].
Single scale Retinex (SSR) is a Retinex algorithm developed by Jobson for image processing where the output is determined by the correspondence between the pixel value (center, input value) and Gaussian function (surround, neighborhood) [2].
McCann99 Retinex Algorithm and Frankle-McCann Retinex Algorithm.
Figure 4 shows the result of applying multiscale BTH and multiscale multiorientation BTH to different correction methods, that is, CLASHA [3,4], Retinex [5], difference of green and its median blurring [6], and proposed correction method.
A lot of experiments are performed with the proposed method and compared with several other conventional methods such as Retinex algorithm [22], fuzzy enhancement (FE) [15], Gray Level Grouping (GLG), overall brightness, and local contrast adaptive enhancement (OBLCAE) [8].
However, the kind of methodology which can incorporate the Retinex, LM and CM features of the HV S into NSCT domain for automatic underwater image enhancement and denoising, has not been explored.
14 are the experimental comparisons of the proposed method and the existing methods such as color histogram equalization and multi-scale retinex with color restoration.
These include the Retinex filter, histogram equalization and histogram stretching, as follows.