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Qualitative and quantitative analysis of non-uniform dark images

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TLDR
Results showed that few parts where no information was being noticed before processing  the digital image, now provides information to the subject after processing.
Abstract
In this paper, an algorithm is developed to attain information from the dark images and an analysis is sought for the impact of brightness adjustment parameter (α) and color hue (λ) on a single dark image. The algorithm appears quite appealing as the quality of the images become clearer. This algorithm is applied on a single dark image for different values of α and λ and out of resultant twenty four images; medium, high and low quality were selected randomly for mean opinion score. A mean score opinion (MOS) is drawn for a set of processed and unprocessed images and the results gathered shows that the processed image gathers valuable information and appeared clear. Results showed that few parts where no information was being noticed before processing  the digital image, now provides information to the subject after processing.

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Effect of Enhancement Technique on Nonuniform and Uniform Ultrasound Images

TL;DR: In this research work, the enhancement of dark ultrasound images has been done using enhancement technique for nonuniform and uniform dark images and the quality of the processed and unprocessed images is compared.
References
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Journal ArticleDOI

Properties and performance of a center/surround retinex

TL;DR: A practical implementation of the retinex is defined without particular concern for its validity as a model for human lightness and color perception, and the trade-off between rendition and dynamic range compression that is governed by the surround space constant is described.
Journal ArticleDOI

Image enhancement and denoising by complex diffusion processes

TL;DR: It is proved that the imaginary part is a smoothed second derivative, scaled by time, when the complex diffusion coefficient approaches the real axis, and developed two examples of nonlinear complex processes, useful in image processing.
Posted Content

A Comprehensive Review of Image Enhancement Techniques

TL;DR: Underlying concepts of underlying concepts, along with algorithms commonly used for image enhancement, are provided, with particular reference to point processing methods and histogram processing.

Application of Genetic Algorithm for Image Enhancement and Segmentation.

TL;DR: Various approaches based on genetic algorithm to get image with good and natural contrast are introduced and the definition of image enhancement and image segmentation is included and the image can be enhanced using the Genetic Al algorithm and the Image Segmentation using Genetic Algorithm.