A Modified Multi Scale Retinex with Color Restoration Algorithm for Automatic Enhancement of Landsat-5 Remote Sensing Image

2011 ◽  
Vol 341-342 ◽  
pp. 893-897
Author(s):  
Gui Zhou Wang ◽  
Guo Jin He
Keyword(s):  
Image Enhancement ◽  
Dynamic Range ◽  
Color Constancy ◽  
Human Perception ◽  
Histogram Equalization ◽  
Image Processing Algorithm ◽  
Multi Scale ◽  
Dynamic Range Compression ◽  
Restoration Algorithm ◽  
Color Restoration

The retinex is a human perception based image processing algorithm which provides color constancy and dynamic range compression. The multi scale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. But the MSRCR results suffer from lower global brightness and partial color distortion. In order to improve the MSRCR method, this paper presents a modified MSRCR algorithm to Landsat-5 image enhancement considering percent liner stretch and histogram adjustment. Finally, the effect of modified MSRCR method on Landsat-5 image enhancement is analyzed and the comparison with other color adjustment methods such as gamma correction and histogram equalization is reported in the experimental results.

Color Image Enhancement Methods Based on Matlab

2013 ◽  
Vol 300-301 ◽  
pp. 1664-1668
Author(s):  
Xiao Min Xie ◽  
Chang Ming Wang ◽  
Ai Jun Zhang
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Histogram Equalization ◽  
Human Vision ◽  
Related Concept ◽  
Multi Scale ◽  
Color Image Enhancement ◽  
Time Simulation ◽  
Color Restoration ◽  
Simulation Results

The aim of the paper is to provide three enhancement methods for processing color images, including: RGB Histogram equalization, the method based on HSI and Multi-scale Retinex with color restoration (MSRCR). Firstly, we shall briefly introduce color image enhancement and related concept. Then, emphasis is placed on the principle of the three methods. Afterwards, we make comparison among the three methods. Finally, we can get a conclusion that: MSRCR greatly not only strengthens the details but also keep the color of the original image and acts more consistent with characteristics of human vision. However, it takes longer time. Simulation results provide a guidance and reference for the choice of color image enhancement methods.

Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

2017 ◽  
Vol 7 (8) ◽  
pp. 56
Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Human Perception ◽  
Histogram Equalization ◽  
Wavelet Shrinkage ◽  
Visual Appearance ◽  
Enhancement Method ◽  
Fuzzy Histogram ◽  
Rgb Image

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

A Correction Algorithm of Multi-View Image System

2014 ◽  
Vol 631-632 ◽  
pp. 395-398
Author(s):  
Xin Yang Wang ◽  
Huan Xia Feng ◽  
Jian Zhang
Keyword(s):  
Light Source ◽  
Color Constancy ◽  
Histogram Equalization ◽  
Experimental Results ◽  
Image Correction ◽  
Correction Algorithm ◽  
Intrinsic Properties ◽  
Image System ◽  
Correction Effect ◽  
Color Restoration

This paper, based on the Retinex Color Constancy Theory, proposes a novel multi-view image correction algorithm, which correction effect is very effective. Histogram equalization,retinex processing and color restoration are performed for multi-view images,and extract reflectance which describe object intrinsic properties to eliminate un-consistent light source influence.The experimental results show that corrected images not only have high color contract,also have consistent color appearance with others.

scholarly journals Enhanced Intelligent Automated Method to MSRCR Algorithm for Image Enhancement

2020 ◽  
Vol 9 (3) ◽  
pp. 1398-1401
Keyword(s):  
Image Enhancement ◽  
Multi Scale ◽  
Automated Method ◽  
Restoration Algorithm ◽  
User Need

The images captured by a camera may need tweaking based on the lighting situations present at the scene captured. The extremities in the lighting and the position of the object may sometime degrade the image captured. To have a right image all the time this concept was developed. This paper focuses on the automated procedure which rides over the Multi Scale Retinex with Colour Restoration Algorithm for best possible results. This is a completely automated approach where the user need not do anything apart from giving the image as the input. The main problems in photography are overcome to a great extent using this procedure.

scholarly journals Oretinex-DI: Pre-Processing Algorithms for Melanoma Image Enhancement

2018 ◽  
Vol 11 (3) ◽  
pp. 1381-1387
Author(s):  
Reshma M ◽  
Priestly B. Shan
Keyword(s):  
Image Enhancement ◽  
Human Perception ◽  
Histogram Equalization ◽  
Clinical Analysis ◽  
Computer Assisted ◽  
Diagnostic Systems ◽  
Traditional Methods ◽  
Image Enhancements ◽  
Dermoscopic Image ◽  
Contrast Perception

In Medical imaging, the dermoscopic images analysis is quite useful for the skin cancer detection. The automatic computer assisted diagnostic systems (CADS) require dermoscopic image enhancement for human perception and analysis. The traditional image enhancements methods lack the synchronization among contrast perception between human and the digital images. This paper proposes an optimized-Retinex (ORetinex) image enhancement algorithm to remove light effects, which is quite suitable for the dermoscopic image for clinical analysis for Melanoma. The value of global contrast factor (GCF) and contrast per pixel (CPP) is computed and compared with the traditional methods of image enhancements including contrast enhancement, CLAHE,Adaptive histogram equalization, Bilinear filtering and the proportion of GCF and CPP is found quite optimal as compare to these traditional methods.

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