Visibility enhancement of color images using Type-II fuzzy membership function

2018 ◽  
Vol 32 (11) ◽  
pp. 1850130 ◽  
Author(s):  
Harmandeep Singh ◽  
Baljit Singh Khehra
Keyword(s):  
Image Enhancement ◽  
Color Images ◽  
Fuzzy Membership Function ◽  
Type Ii ◽  
Hidden Information ◽  
Color Gradients ◽  
Visibility Enhancement ◽  
Detail Enhancement ◽  
Local Detail ◽  
Atmospheric Light

Images taken in poor environmental conditions decrease the visibility and hidden information of digital images. Therefore, image enhancement techniques are necessary for improving the significant details of these images. An extensive review has shown that histogram-based enhancement techniques greatly suffer from over/under enhancement issues. Fuzzy-based enhancement techniques suffer from over/under saturated pixels problems. In this paper, a novel Type-II fuzzy-based image enhancement technique has been proposed for improving the visibility of images. The Type-II fuzzy logic can automatically extract the local atmospheric light and roughly eliminate the atmospheric veil in local detail enhancement. The proposed technique has been evaluated on 10 well-known weather degraded color images and is also compared with four well-known existing image enhancement techniques. The experimental results reveal that the proposed technique outperforms others regarding visible edge ratio, color gradients and number of saturated pixels.

scholarly journals Fractional-Order Fusion Model for Low-Light Image Enhancement

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 574 ◽  
Author(s):  
Qiang Dai ◽  
Yi-Fei Pu ◽  
Ziaur Rahman ◽  
Muhammad Aamir
Keyword(s):  
Image Enhancement ◽  
Fractional Order ◽  
Input Image ◽  
Experimental Results ◽  
Fusion Model ◽  
Low Light ◽  
Visual Appearance ◽  
Light Image ◽  
Proposed Model ◽  
Detail Enhancement

In this paper, a novel fractional-order fusion model (FFM) is presented for low-light image enhancement. Existing image enhancement methods don’t adequately extract contents from low-light areas, suppress noise, and preserve naturalness. To solve these problems, the main contributions of this paper are using fractional-order mask and the fusion framework to enhance the low-light image. Firstly, the fractional mask is utilized to extract illumination from the input image. Secondly, image exposure adjusts to visible the dark regions. Finally, the fusion approach adopts the extracting of more hidden contents from dim areas. Depending on the experimental results, the fractional-order differential is much better for preserving the visual appearance as compared to traditional integer-order methods. The FFM works well for images having complex or normal low-light conditions. It also shows a trade-off among contrast improvement, detail enhancement, and preservation of the natural feel of the image. Experimental results reveal that the proposed model achieves promising results, and extracts more invisible contents in dark areas. The qualitative and quantitative comparison of several recent and advance state-of-the-art algorithms shows that the proposed model is robust and efficient.

scholarly journals An Automatic Wavelet based non-linear Image Enhancement for both Grayscale & Color Images

IJIREEICE ◽  
2015 ◽  
Vol 3 (4) ◽  
pp. 22-26
Author(s):  
Prof. Arjun Nichal ◽  
Ms.Vasudha Patil ◽  
Ms.Nehali Pawar ◽  
Ms.Ashwini Shinde
Keyword(s):  
Image Enhancement ◽  
Color Images ◽  
Non Linear

An Improved Color Image Enhancement Algorithm Based on 3-D Color Histogram Equalization

2013 ◽  
Vol 321-324 ◽  
pp. 1133-1137
Author(s):  
Yu Ting Song ◽  
Xiu Hua Ji ◽  
Shi Lin Zhao
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Histogram Equalization ◽  
Color Images ◽  
Color Histogram ◽  
Test Results ◽  
Gray Scale ◽  
Color Image Enhancement ◽  
Equalization Algorithm ◽  
Enhancement Algorithm

This paper proposes an improved color image enhancement algorithm based on 3-D color histogram equalization algorithm. When the existed 3-D color histogram equalization algorithms in the literatures are applied in processing dim color images, the processed color images often turn pale due to the decrease of color-saturations and have false contours due to gray-scale merging phenomenon in the histogram equalization algorithm. In this paper, the proposed algorithm can make more pixels of the processed color images keep their color-saturations and reduce the gray-scale merging with Logarithmic histogram equalization algorithm. Test results with dim color images present a better effect of image enhancement.

Study of Enhancement Technology of Color Image Based on Adaptation and Nonlinear

2011 ◽  
Vol 267 ◽  
pp. 234-240
Author(s):  
Tai Le Peng ◽  
You Dong Ding ◽  
Chang Jie Zhu
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Sliding Window ◽  
Threshold Value ◽  
Image Features ◽  
Color Images ◽  
Local Characteristic ◽  
Median Filtering ◽  
Color Image Enhancement ◽  
Enhancement Technology

Loss of image features are leaded by Regions with too bright or too dark of image with noise. An adaptive and nonlinear algorithm for color image enhancement is proposed in the paper. which consists of five stages: Converting color images to grayscale images; Threshold value is ascertained by HVS and position of noise is ascertained by method of Sliding Window; According to local characteristic of position of noise, median filtering is executed by weighted template; The following thing is that image is separated into apart; At last image is adaptively enhanced according to idea of Retinex and color of image is reverted. Experiments show that ability of de-noising can be effectively improved by the algorithm and contrast of image can be improved.

scholarly journals Dermoscopy Images Enhancement via Multi-Scale Morphological Operations

2021 ◽  
Vol 11 (19) ◽  
pp. 9302
Author(s):  
Julio César Mello-Román ◽  
José Luis Vázquez Noguera ◽  
Horacio Legal-Ayala ◽  
Miguel García-Torres ◽  
Jacques Facon ◽  
...  
Keyword(s):  
Color Images ◽  
Morphological Operations ◽  
Light Conditions ◽  
Low Contrast ◽  
Multi Scale ◽  
Melanocytic Lesions ◽  
Morphological Approach ◽  
Detail Enhancement ◽  
Surrounding Skin

Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Therefore, it is necessary to design an approach that can enhance the contrast and details of dermoscopic images. In this work, we propose a multi-scale morphological approach to reduce the impacts of lack of contrast and to enhance the quality of the images. By top-hat reconstruction, the local bright and dark features are extracted from the image. The local bright features are added and the dark features are subtracted from the image. In this way, images with higher contrast and detail are obtained. The proposed approach was applied to a database of 236 color images of benign and malignant melanocytic lesions. The results show that the multi-scale morphological approach by reconstruction is a competitive algorithm since it achieved a very satisfactory level of contrast enhancement and detail enhancement in dermoscopy images.

Fruit images Visibility enhancement using Type-II Fuzzy

2021 ◽  
Author(s):  
Harmandeep Singh Gill ◽  
Baljit Singh Khehra ◽  
Bhupinder Singh Mavi
Keyword(s):  
Type Ii ◽  
Visibility Enhancement

Several Color Image Enhancement Method Comparison

2013 ◽  
Vol 380-384 ◽  
pp. 3770-3773
Author(s):  
Ting Ting Huang ◽  
Yuan Li ◽  
Zhen Xiang Xie
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Method Comparison ◽  
Objective Evaluation ◽  
Histogram Equalization ◽  
Color Images ◽  
Simulation Experiments ◽  
Analysis Process ◽  
Color Image Enhancement ◽  
Enhancement Method

In this paper, the image analysis process, based on the characteristics of color images, were used histogram equalization, homomorphism filtering, Retinex multistage optimization and Zadeh-X transform for image processing, the use of simulation experiments, compared several methods in the image enhancement application, experimental results are presented and compared using several methods of objective evaluation.

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