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Adaptive Enhancement algorithm using image Decomposition for non-uniform illuminated images

机译:基于图像分解的非均匀光照图像自适应增强算法

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The objectivity of illumination and reflectance has been the continuous thrust area in image analysis and enhancement. To achieve better quality, the researchers have focused on improving contrast enhancement and brightness preservation of mainly non- uniform images. This paper reviews the computational techniques evolved for improving the visual quality of images. The discussion has been focused on multi-scale decomposition approach to achieve the desired variation in contrast and brightness of the images. The multi-scale approach is termed as a combination of coarse and detail coefficients of the input image. So, it may be said that the detail characteristics are evaluated to study directional variations of the intensity in the images.
机译:照明和反射率的客观性一直是图像分析和增强中的连续推力领域。为了获得更好的质量,研究人员致力于改善对比度增强和主要是非均匀图像的亮度保持。本文回顾了为提高图像的视觉质量而发展起来的计算技术。讨论集中在多尺度分解方法上,以实现图像对比度和亮度的所需变化。多尺度方法被称为输入图像的粗略系数和细节系数的组合。因此,可以说对细节特征进行了评估以研究图像中强度的方向变化。

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