Image De-noising using mean pixel algorithms corrupted with photocopier noise
A Set of Linear Mean Filtering Algorithms and Non-linear Mean Filtering algorithms are proposed and mathematically described in this paper. The performance of this proposed set of De-noising algorithms is evaluated under the presence of AWGN introduced by photocopier machine. It is observed that the...
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| creator | Vallepalli, Sri Srujan Rajendran, Madan Mohan |
| description | A Set of Linear Mean Filtering Algorithms and Non-linear Mean Filtering algorithms are proposed and mathematically described in this paper. The performance of this proposed set of De-noising algorithms is evaluated under the presence of AWGN introduced by photocopier machine. It is observed that the Non-linear mean filtering preserve the edge better than the Linear mean filters. For text images, the need for thresholding based on the value of background pixel is implemented. Finally a set of sample images are filtered and the Mean square error, Peak Signal to Noise Ratio are calculated and tabulated for different levels of noise. |
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The performance of this proposed set of De-noising algorithms is evaluated under the presence of AWGN introduced by photocopier machine. It is observed that the Non-linear mean filtering preserve the edge better than the Linear mean filters. For text images, the need for thresholding based on the value of background pixel is implemented. Finally a set of sample images are filtered and the Mean square error, Peak Signal to Noise Ratio are calculated and tabulated for different levels of noise.</description><identifier>ISSN: 2157-8672</identifier><identifier>ISBN: 1457721910</identifier><identifier>ISBN: 9781457721915</identifier><identifier>EISBN: 9783200023284</identifier><identifier>EISBN: 3200023287</identifier><language>eng</language><publisher>IEEE</publisher><subject>Circular filter and Gaussian weight filter ; Filtering algorithms ; Harmonic analysis ; Harmonic mean filter and Contra-Harmonic mean filter ; Image edge detection ; Linear filters- Box filter ; Maximum likelihood detection ; Noise ; Non-Linear filters- Geometric mean filter ; Nonlinear filters ; Power harmonic filters</subject><ispartof>2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP), 2012, p.530-535</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6208196$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6208196$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Vallepalli, Sri Srujan</creatorcontrib><creatorcontrib>Rajendran, Madan Mohan</creatorcontrib><title>Image De-noising using mean pixel algorithms corrupted with photocopier noise</title><title>2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)</title><addtitle>IWSSIP</addtitle><description>A Set of Linear Mean Filtering Algorithms and Non-linear Mean Filtering algorithms are proposed and mathematically described in this paper. The performance of this proposed set of De-noising algorithms is evaluated under the presence of AWGN introduced by photocopier machine. It is observed that the Non-linear mean filtering preserve the edge better than the Linear mean filters. For text images, the need for thresholding based on the value of background pixel is implemented. Finally a set of sample images are filtered and the Mean square error, Peak Signal to Noise Ratio are calculated and tabulated for different levels of noise.</description><subject>Circular filter and Gaussian weight filter</subject><subject>Filtering algorithms</subject><subject>Harmonic analysis</subject><subject>Harmonic mean filter and Contra-Harmonic mean filter</subject><subject>Image edge detection</subject><subject>Linear filters- Box filter</subject><subject>Maximum likelihood detection</subject><subject>Noise</subject><subject>Non-Linear filters- Geometric mean filter</subject><subject>Nonlinear filters</subject><subject>Power harmonic filters</subject><issn>2157-8672</issn><isbn>1457721910</isbn><isbn>9781457721915</isbn><isbn>9783200023284</isbn><isbn>3200023287</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9i8kOgjAURWvUxIkvcNMfIHltgZa1Q3Thzj2p-IQmQJsWov69Q1y7uSc5J3dEolwqwQGAC66SMVmwJJWSs5zBhMw5S2WsMslnJArBXAAUZGkOYk5Ox1ZXSLcYd9YE01V0-G6LuqPOPLChuqmsN33dBlpa7wfX45Xe34K62va2tM6gp587rsj0ppuA0Y9Lst7vzptDbBCxcN602j-LjINieSb-1xex5D2K</recordid><startdate>201204</startdate><enddate>201204</enddate><creator>Vallepalli, Sri Srujan</creator><creator>Rajendran, Madan Mohan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201204</creationdate><title>Image De-noising using mean pixel algorithms corrupted with photocopier noise</title><author>Vallepalli, Sri Srujan ; Rajendran, Madan Mohan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_62081963</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Circular filter and Gaussian weight filter</topic><topic>Filtering algorithms</topic><topic>Harmonic analysis</topic><topic>Harmonic mean filter and Contra-Harmonic mean filter</topic><topic>Image edge detection</topic><topic>Linear filters- Box filter</topic><topic>Maximum likelihood detection</topic><topic>Noise</topic><topic>Non-Linear filters- Geometric mean filter</topic><topic>Nonlinear filters</topic><topic>Power harmonic filters</topic><toplevel>online_resources</toplevel><creatorcontrib>Vallepalli, Sri Srujan</creatorcontrib><creatorcontrib>Rajendran, Madan Mohan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vallepalli, Sri Srujan</au><au>Rajendran, Madan Mohan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image De-noising using mean pixel algorithms corrupted with photocopier noise</atitle><btitle>2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)</btitle><stitle>IWSSIP</stitle><date>2012-04</date><risdate>2012</risdate><spage>530</spage><epage>535</epage><pages>530-535</pages><issn>2157-8672</issn><isbn>1457721910</isbn><isbn>9781457721915</isbn><eisbn>9783200023284</eisbn><eisbn>3200023287</eisbn><abstract>A Set of Linear Mean Filtering Algorithms and Non-linear Mean Filtering algorithms are proposed and mathematically described in this paper. The performance of this proposed set of De-noising algorithms is evaluated under the presence of AWGN introduced by photocopier machine. It is observed that the Non-linear mean filtering preserve the edge better than the Linear mean filters. For text images, the need for thresholding based on the value of background pixel is implemented. Finally a set of sample images are filtered and the Mean square error, Peak Signal to Noise Ratio are calculated and tabulated for different levels of noise.</abstract><pub>IEEE</pub></addata></record> |
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| ispartof | 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP), 2012, p.530-535 |
| issn | 2157-8672 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Circular filter and Gaussian weight filter Filtering algorithms Harmonic analysis Harmonic mean filter and Contra-Harmonic mean filter Image edge detection Linear filters- Box filter Maximum likelihood detection Noise Non-Linear filters- Geometric mean filter Nonlinear filters Power harmonic filters |
| title | Image De-noising using mean pixel algorithms corrupted with photocopier noise |
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