World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , 

World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • New Issue Published

    Its Our pleasure to inform you that, WJERT 1 March 2021 Issue has been Published, Kindly check it on http://wjert.org/home/current_issues

  • WJERT New Impact Factor

    Its our Pleasure to Inform you that WJERT Impact Factor has been increased from  5.549 to 5.924 due to high quality Publication at International Level

  • WJERT MARCH ISSUE PUBLISHED

    MARCH 2021 Issue has been successfully launched on 1 March 2021.

Indexing

Abstract

GRAY SCALE IMAGE NOISE DETECTION AND CORRECTION USING LINEAR REGRESSION ANALYSIS

Nishtha Vyas*, Anand Kumar Tripathi and Anupam Vyas

ABSTRACT

Noise is major limiting factor in digital images, due to noise quality of image is degrade. According to the effect of noise and pattern of noise the noises are categorized in different types. For improving quality of image filtering techniques are used. There are various filtering technique are reported in last few years. In this presented work the impulse noise and their effect in image is measured. In addition of that the recent contributions on the image filters for impulse noise detection and correction is also investigated. After evaluation of de-noising techniques an improved impulse noise filter is proposed. The proposed image filtering technique detects and removes impulse noise from digital grey-scale images. During impulse noise the image pixels are corrupted therefore to distinguish between corrupted and uncorrupted pixels the proposed technique incorporates regression analysis. After differentiation of corrupted pixel, these pixels are processed by calculating average value of itself and two neighbouring pixels which are uncorrupted. Corrupted pixels are not properly removed in single processing therefore in iterative manner the noise is removed from image. This processing can damage the image edges therefore in order to preserve the image edges L0 smoothing is employed with each iteration. Finally for removing the remaining noise effect a median filter is applied over the image. The implementation of the desired technique is performed using MATLAB simulation environment. Result of the proposed technique measure in term of visual quality, histogram and PSNR (pick signal to noise ratio). The proposed technique demonstrates the effectiveness with respect to the previously available technique.[1,2] The proposed method is adoptable due to their less memory and time consumption.

[Full Text Article]