An automated multi Scale Retinex with Color Restoration for image enhancement

Parthasarathy, Sudharsan; Sankaran, Praveen

doi:10.1109/ncc.2012.6176791

Cited by 79 publications

(35 citation statements)

References 9 publications

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“…The proposed method were compared with four conventional image enhancement methods, i.e. MSR [7], aMSRCR [15], AGCWD [16], and MSRCP-PSO [5], in subjective and objective aspects. All the methods were implemented and verified with C++ on a PC with 3.20 GHz CPU and 32 GB RAM.…”

Section: Resultsmentioning

confidence: 99%

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Retinex-Based Image Enhancement with Particle Swarm Optimization and Multi-Objective Function

Matin

Jeong

Park

2020

IEICE Trans. Inf. & Syst.

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Multiscale retinex is one of the most popular image enhancement methods. However, its control parameters, such as Gaussian kernel sizes, gain, and offset, should be tuned carefully according to the image contents. In this letter, we propose a new method that optimizes the parameters using practical swarm optimization and multi-objective function. The method iteratively verifies the visual quality (i.e. brightness, contrast, and colorfulness) of the enhanced image using a multi-objective function while subtly adjusting the parameters. Experimental results shows that the proposed method achieves better image quality qualitatively and quantitatively compared with other image enhancement methods.

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Section: Resultsmentioning

confidence: 99%

“…Thus, the dimension of each particle is set to 7. During the optimization, the available range of each parameter is set as follows: 15,15], p t ∈ [1,5], and p b ∈ [1,5]. Both the number of particles and iterations are set to 30 to produce satisfactory results.…”

Section: Tuning the Msrcp Parameters Using The Psomentioning

confidence: 99%

Retinex-Based Image Enhancement with Particle Swarm Optimization and Multi-Objective Function

Matin

Jeong

Park

2020

IEICE Trans. Inf. & Syst.

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“…The algorithm for colour restoration is defined in the following. The MSRCR algorithm does the multi sampling of the image along with restoration of colour by considering multiband colour restoration function [1] during the enhancement procedure. Through this operation the adding up of colour levels or the subtraction of colour levels is possible giving the image a very realistic human eye view.…”

Section: Multi Scale Retinex With Colour Restorationmentioning

confidence: 99%

“…The entire MSRCR algorithm [1] can be controlled by controlling the three parameters gain, alpha & beta. Also for additional control the c values for the SSR algorithm [1] is fixed with precision. All the other available algorithms do enhance the image but none of them increase the dynamic range of the image.…”

Section: What Makes Msrcr Algorithm a Unique Choice For This Automentioning

confidence: 99%

Enhanced Intelligent Automated Method to MSRCR Algorithm for Image Enhancement

K.,

A.,

2020

IJEAT

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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.

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“…Multi-scale Retinex with colour restoration (MSRCR) is believed to be the best image enhancement method for all types of Retinex theories [6][7][8]. Although these image enhancement methods can improve the image quality [9][10][11][12][13], they have recently been challenged regarding the issue of fidelity. In most cases, image enhancement performed after image processing tends to bring out artefacts injected into the data due to the quality improvement, i.e.…”

Section: Introductionmentioning

confidence: 99%