Research Article

Article:Performance Improvement in Noisy Image Enhancement

by  Adil Siddiqui, Meenakshi Sharma, Manish Zadoo, Salil Khare
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Issue 27
Published: February 2010
Authors: Adil Siddiqui, Meenakshi Sharma, Manish Zadoo, Salil Khare
10.5120/502-819
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Adil Siddiqui, Meenakshi Sharma, Manish Zadoo, Salil Khare . Article:Performance Improvement in Noisy Image Enhancement. International Journal of Computer Applications. 1, 27 (February 2010), 34-35. DOI=10.5120/502-819

                        @article{ 10.5120/502-819,
                        author  = { Adil Siddiqui,Meenakshi Sharma,Manish Zadoo,Salil Khare },
                        title   = { Article:Performance Improvement in Noisy Image Enhancement },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 1 },
                        number  = { 27 },
                        pages   = { 34-35 },
                        doi     = { 10.5120/502-819 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Adil Siddiqui
                        %A Meenakshi Sharma
                        %A Manish Zadoo
                        %A Salil Khare
                        %T Article:Performance Improvement in Noisy Image Enhancement%T 
                        %J International Journal of Computer Applications
                        %V 1
                        %N 27
                        %P 34-35
                        %R 10.5120/502-819
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

From the computational complexity point of view it is found that traditional image enhancement techniques used to require large no. of computations but our idea is that image smoothening can also be used as edge enhancement filters. This way of edge enhancement has specific advantage over the traditional edge enhancement filters especially in enhancing the edges of a noisy image.

References
  • R.Gozales and R.Woods Digital signal processing Addison Wesley, 1992
  • DEDIP: a user friendly Environment for digital Image processing Algorithm development
  • Digital image processing- an Object-oriented approach Roman, D; Fisher, M; Cubillo, J:
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Image smoothening filter edge enhancement noise algorithm Gaussian median kunwahara

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