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An advanced gradient histogram and its application for contrast and gradient enhancement

机译:先进的梯度直方图及其在对比度和梯度增强中的应用

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This paper proposes an image contrast and gradient enhancement method based on advanced gradient histogram equalization (AGHE). We first define a novel advanced gradient histogram (AGH). Unlike the traditional intensity histogram which only contains intensity information, the AGH contains both gradient and intensity information of image. This character enables AGH to alleviate high peaks and thus avoid over enhancement in AGHE. Moreover, it's proved that AGHE can increase the mean of absolute gradients (MAG) which is a measurement of image gradient. Then we present a sine function histogram correction (SHC) to control the enhancement level of AGHE. By modifying AGH using SHC before equalization, both the contrast and gradient enhancement levels can be controlled effectively. Simulation results demonstrate that AGHE with SHC (SAGHE) can improve the image subjective quality effectively by enhancing both the contrast and gradient of image. (C) 2015 Elsevier Inc. All rights reserved.
机译:提出了一种基于高级梯度直方图均衡化(AGHE)的图像对比度和梯度增强方法。我们首先定义一种新颖的高级梯度直方图(AGH)。与仅包含强度信息的传统强度直方图不同,AGH包含图像的梯度和强度信息。此特性使AGH可以缓解高峰,从而避免AGHE的过度增强。此外,已证明AGHE可以增加绝对梯度的平均值(MAG),这是对图像梯度的度量。然后,我们提出了一个正弦函数直方图校正(SHC),以控制AGHE的增强水平。通过在均衡之前使用SHC修改AGH,可以有效地控制对比度和梯度增强水平。仿真结果表明,带有SHC的AGHE(SAGHE)可以通过增强图像的对比度和梯度来有效地改善图像的主观质量。 (C)2015 Elsevier Inc.保留所有权利。

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