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A new model for performance evaluation of denoising algorithms based on image quality assessment

Authors:

Priyanka Srivastava,

Satyam Bhardwaj,

Vikrant BhatejaAuthors Info & Claims

CUBE '12: Proceedings of the CUBE International Information Technology Conference

Pages 5 - 10

https://doi.org/10.1145/2381716.2381719

Published: 03 September 2012 Publication History

Abstract

Performance of the image denoising algorithms can be evaluated as a function of two main post-filtering parameters- the noise remained (in the image) known as 'residual noise' and the blurring (or other artifacts) introduced in the image during reconstruction known as 'collateral distortion'. This paper proposes a new model for performance evaluation of image denoising algorithms based on the parameters mentioned above. The proposed model evaluates the quality of the filtered image by taking into account the degree of noise cancellation, different distortions that can be introduced during reconstruction, along with the detail preservation. Simulations are performed on filtered images obtained after deteriorations due to impulse, Gaussian and speckle noises respectively. The obtained results using the proposed model correlates well with the different quality evaluation indices and hence efficiently evaluate the quality of the denoised image.

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Cited By

Sekhar BReddy PVenkataramana SChakravarthy VChowdary P(2019)Image Denoising Using Novel Social Grouping Optimization Algorithm with Transform Domain TechniqueInternational Journal of Natural Computing Research10.4018/IJNCR.20191001038:4(28-40)Online publication date: Oct-2019
https://doi.org/10.4018/IJNCR.2019100103
Van Nguyen STran HTran M(2018)An Improved Method for Restoring the Shape of 3D Point Cloud SurfacesInternational Journal of Synthetic Emotions10.4018/IJSE.20180701039:2(37-53)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJSE.2018070103
Bhateja VKrishn APatel HSahu A(2017)Medical Image Fusion in Wavelet and Ridgelet DomainsMedical Imaging10.4018/978-1-5225-0571-6.ch028(711-723)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0571-6.ch028
Show More Cited By

Index Terms

A new model for performance evaluation of denoising algorithms based on image quality assessment
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing

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Published In

cover image ACM Other conferences

CUBE '12: Proceedings of the CUBE International Information Technology Conference

September 2012

879 pages

ISBN:9781450311854

DOI:10.1145/2381716

General Chair:
Vidyasagar Potdar
Curtin University, Australia
,
Program Chair:
Debajyoti Mukhopadhyay
Maharashtra Institute of Technology, India

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 September 2012

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CUBE '12: CUBE International IT Conference & Exhibition

September 3 - 5, 2012

Pune, India

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Cited By

Sekhar BReddy PVenkataramana SChakravarthy VChowdary P(2019)Image Denoising Using Novel Social Grouping Optimization Algorithm with Transform Domain TechniqueInternational Journal of Natural Computing Research10.4018/IJNCR.20191001038:4(28-40)Online publication date: Oct-2019
https://doi.org/10.4018/IJNCR.2019100103
Van Nguyen STran HTran M(2018)An Improved Method for Restoring the Shape of 3D Point Cloud SurfacesInternational Journal of Synthetic Emotions10.4018/IJSE.20180701039:2(37-53)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJSE.2018070103
Bhateja VKrishn APatel HSahu A(2017)Medical Image Fusion in Wavelet and Ridgelet DomainsMedical Imaging10.4018/978-1-5225-0571-6.ch028(711-723)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0571-6.ch028
Sharma ABhateja VTripathi A(2016)An Improved Kuan Algorithm for Despeckling of SAR ImagesInformation Systems Design and Intelligent Applications10.1007/978-81-322-2752-6_65(663-672)Online publication date: 3-Feb-2016
https://doi.org/10.1007/978-81-322-2752-6_65
Sinha ABhateja VSharma ASatapathy S(2015)Bilateral Filtering in Wavelet Domain for Synthesis of Flash and No-Flash Image PairsInformation Systems Design and Intelligent Applications10.1007/978-81-322-2247-7_81(797-805)Online publication date: 21-Jan-2015
https://doi.org/10.1007/978-81-322-2247-7_81
Bhateja VTiwari HSrivastava A(2015)A Non-Local Means Filtering Algorithm for Restoration of Rician Distributed MRIEmerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 210.1007/978-3-319-13731-5_1(1-8)Online publication date: 2015
https://doi.org/10.1007/978-3-319-13731-5_1
Bhateja VVerma ARastogi KMalhotra CSatapathy S(2014)Performance Improvement of Decision Median Filter for Suppression of Salt and Pepper NoiseAdvances in Signal Processing and Intelligent Recognition Systems10.1007/978-3-319-04960-1_26(287-297)Online publication date: 2014
https://doi.org/10.1007/978-3-319-04960-1_26
Bhateja VSrivastava AKalsi A(2014)Fast SSIM Index for Color Images Employing Reduced-Reference EvaluationProceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 201310.1007/978-3-319-02931-3_51(451-458)Online publication date: 2014
https://doi.org/10.1007/978-3-319-02931-3_51
Singh DBhateja VSoni S(2013)An Efficient Cluster-Based Routing Protocol for WSNs Using Time Series Prediction-Based Data Reduction SchemeInternational Journal of Measurement Technologies and Instrumentation Engineering10.4018/ijmtie.20130701023:3(18-34)Online publication date: Jul-2013
https://doi.org/10.4018/ijmtie.2013070102

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