.png){kind=icon}
返回
Improved local histogram equalization with gradient-based weighting process for edge preservation
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-015-3147-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a novel local histogram equalization by combining the transformation functions of the non-overlapped sub-images based on the gradient information for edge preservation and better visualization. To ameliorate the problems of the over- and under-enhancement produced by conventional local histogram equalization, the bilateral Bezier curve-based histogram modification strategy is first employed to modify the significant and insufficient changes of each cumulative distribution in each sub-image. Yet, the gradient information has not been considered, and the cumulative distribution of some enhanced sub-images are still significant or insufficient because of the over- and under-enhancement, respectively. Therefore, the key insight of the proposed method is that the transformation functions of the partitioned sub-images will be weighed and combined based on the proportion of gradients to preserve the image texture. In addition, the input image is separated into the non-overlapped sub-images for reducing the time complexity. Based on the eight representative test images and mean opinion score, the experimental results demonstrate that the proposed method is quite competitive with four state-of-the-art histogram equalization methods in the literature. Furthermore, according to the subjective evaluation, it is observed that the proposed method can also apply to the practical applications and achieve good visual quality.
Keyword:
Contrast enhancement
Local histogram equalization
Edge preservation
Brightness preservation
Bilateral Bezier curve
Gradient information
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
Fuzzy Fusion Based High Dynamic Range Imaging using Adaptive Histogram Separation基于模糊融合的自适应直方图分离高动态范围成像
.png){kind=icon}
PREAI
分享收藏分享收藏Contrast Enhancement Based on Layered Difference Representation of 2D Histograms基于二维直方图分层差分表示的对比度增强
PREAI
分享收藏Recursively Separated and Weighted Histogram Equalization for brightness preservation and contrast enhancement用于亮度保持和对比度增强的递归分离和加权直方图均衡
PREAI
分享收藏
查看更多内容