An improved image enhancement algorithm: Radial contrast-limited adaptive histogram equalization

被引：0

作者：

Hu C. ^{[1
,2
]}

Li H. ^{[1
]}

Ma T. ^{[1
]}

Zeng C. ^{[1
]}

Ji X. ^{[2
]}

机构：

[1] School of Mechanical Engineering, Ningxia University, Yinchuan

[2] School of Advanced Interdisciplinary Studites, Ningxia University, Zhongwei

来源：

Multimedia Tools and Applications | 2024年 / 83卷 / 36期

关键词：

CLAHE; Histogram equalization; Image enhancement; Information entropy; Radial contrast;

D O I：

10.1007/s11042-024-18922-5

中图分类号：

学科分类号：

摘要：

A commonly used method in image enhancement is Contrast-Limited Adaptive Histogram Equalization, which is simple and fast. However, this algorithm is to segment the image into multiple rectangular areas, and then perform the image processing, this method works poorly when working on images with poor radial contrast, prone to local image information loss, and the characteristics of the whole image information are of poor quality after being processed. In this paper, we proposed a histogram equalization method of radial ring segmentation image, aiming at the image enhancement processing of less obvious radial contrast. Compared with the classical HE and CLAHE algorithms, the algorithm proposed in this paper can effectively enhance the information entropy of the processed images by an average of 12%. As a result, the images carry more information and exhibit richer texture features. Moreover, the contrast enhancement effect is improved, and the brightness of the images is more moderate. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

引用

页码：83695 / 83707

页数：12

共 28 条

[1]

Abubakar F.M., Image enhancement using histogram equalization and spatial filtering, Int J Sci Res (IJSR), 1, 1, pp. 15-20, (2012)

[2]

Cheng-mao W., Mathematical model of histogram equalization, J Electron, 41, 3, pp. 598-602, (2013)

[3]

Yeongtae K., Contrast enhancement using brightness preserving bi-histogram equalization, IEEE Trans Consum Electron, 43, 1, pp. 1-8, (1997)

[4]

Yu W., Qian C., Zhang B., Image enhancement based on equal area dualistic sub-image histogram equalization method, IEEE Trans Consum Electron, 45, 1, pp. 68-75, (1999)

[5]

Wang Q., Ward R.K., Fast image/video contrast enhancement based on weighted thresholded histogram equalization, IEEE Trans Consum Electron, 53, 2, pp. 758-763, (2007)

[6]

Parihar A.S., Verma O.P., Contrast enhancement using entropy-based dynamic sub-histogram equalization, IET Image Proc, 10, 11, pp. 799-808, (2016)

[7]

Rahman H., Paul G.C., Tripartite sub-image histogram equalization for slightly low contrast gray-tone image enhancement, Pattern Recognit, 134, 2023, (2023)

[8]

Stark J.A., Adaptive image contrast enhancement using generalizations of histogram equalization, IEEE Trans Image Process, 9, 5, pp. 889-895, (2000)

[9]

Santhi K., Banu W.D.S.R., Adaptive contrast enhancement using modified histogram equalization, Optik Int J Light Electron Opt, 126, 19, pp. 1809-1814, (2015)

[10]

Kaur A., Singh C., Contrast enhancement for cephalometric images using wavelet-based modified adaptive histogram equalization, Appl Soft Comput, 51, pp. 180-191, (2017)

← 1 2 3 →