scholarly journals Fuzzy based Low Contrast Image Enhancement Technique by using Pal and King Method

2016 ◽  
Vol 141 (6) ◽  
pp. 25-29
Author(s):  
Ajay Kumar ◽  
Siddharth Singh ◽  
Manish Shrivastava
Keyword(s):  
Image Enhancement ◽  
Low Contrast ◽  
Enhancement Technique ◽  
Contrast Image

Research on low contrast image enhancement technology

2021 ◽  
Author(s):  
Jiale Yao ◽  
Xiangsuo Fan ◽  
Yixun Chen ◽  
Wuchao Li
Keyword(s):  
Image Enhancement ◽  
Low Contrast ◽  
Enhancement Technology ◽  
Contrast Image

Low-contrast image enhancement using spatial contextual similarity histogram computation and color reconstruction

2020 ◽  
Vol 357 (18) ◽  
pp. 13941-13963
Author(s):  
Kankanala Srinivas ◽  
Ashish Kumar Bhandari ◽  
Anurag Singh
Keyword(s):  
Image Enhancement ◽  
Low Contrast ◽  
Contrast Image

scholarly journals An image enhancement method based on gabor filtering in wavelet domain and adaptive histogram equalization

2021 ◽  
Vol 21 (1) ◽  
pp. 146
Author(s):  
Jeevan K M ◽  
Anne Gowda A B ◽  
Padmaja Vijay Kumar
Keyword(s):  
Image Enhancement ◽  
Histogram Equalization ◽  
Median Filtering ◽  
Wavelet Domain ◽  
Gabor Filtering ◽  
Low Contrast ◽  
Enhancement Technique ◽  
Adaptive Histogram Equalization ◽  
Enhancement Method ◽  
Two Parameters

<p><span>The images are not always good enough to convey the proper information. The image may be very bright or very dark sometime or it may be low contrast or high contrast. Because of these reasons image enhancement plays important role in digital image processing. In this paper we proposed an image enhancement technique in which Gabor and median filtering is performed in wavelet domain and Adaptive Histogram Equalization is performed in spatial domain. Brightness and contrast are the two parameters used for analyzing the performance of the proposed method</span></p>

scholarly journals Comparative Study of Different Image Enhancement Techniques

2012 ◽  
Vol 2 (3) ◽  
pp. 131-133
Author(s):  
Saruchi Garg ◽  
Madan Lal
Keyword(s):  
Comparative Study ◽  
Image Enhancement ◽  
Imaging Modality ◽  
Visual Quality ◽  
Low Contrast ◽  
Contrast Image

The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. Image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper analyses the performance of some of existing image enhancement algorithms. The performance of algorithms are evaluated  both qualitatively and quantitatively.

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