Class information for:
Level 1: MEDIAN FILTER//IMPULSE NOISE//SALT AND PEPPER NOISE

Basic class information
Class id #P Avg. number of
references		 Database coverage
of references
6551 1471 20.3 54%


Bar chart of Publication_year

Last years might be incomplete

Hierarchy of classes
The table includes all classes above and classes immediately below the current class.


Cluster id Level Cluster label #P
9 4 COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS 1247339
26 3       COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//PATTERN RECOGNITION//COMPUTER SCIENCE, SOFTWARE ENGINEERING 111824
442 2             COMPRESSED SENSING//IMAGE DENOISING//IMAGE RESTORATION 16202
6551 1                   MEDIAN FILTER//IMPULSE NOISE//SALT AND PEPPER NOISE 1471

Terms with highest relevance score


rank Term termType Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 MEDIAN FILTER authKW 1650056 11% 47% 168
2 IMPULSE NOISE authKW 1559170 12% 43% 174
3 SALT AND PEPPER NOISE authKW 760363 3% 72% 51
4 STACK FILTERS authKW 724113 3% 81% 43
5 RANDOM VALUED IMPULSE NOISE authKW 442801 2% 89% 24
6 NONLINEAR FILTERS authKW 436757 7% 22% 97
7 NOISE DETECTION authKW 400186 3% 52% 37
8 VECTOR MEDIAN FILTER authKW 377388 1% 91% 20
9 SWITCHING MEDIAN FILTER authKW 336252 1% 90% 18
10 WEIGHTED MEDIAN FILTER authKW 324057 1% 71% 22

Web of Science journal categories


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 Engineering, Electrical & Electronic 19242 66% 0% 969
2 Computer Science, Artificial Intelligence 10652 23% 0% 331
3 Imaging Science & Photographic Technology 5136 8% 0% 125
4 Computer Science, Theory & Methods 1153 8% 0% 122
5 Telecommunications 1024 8% 0% 111
6 Computer Science, Information Systems 853 7% 0% 100
7 Computer Science, Software Engineering 845 6% 0% 88
8 Computer Science, Hardware & Architecture 557 4% 0% 55
9 Optics 533 9% 0% 136
10 Acoustics 324 3% 0% 46

Address terms


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 MECH ELECT ENGN HIGHER 166044 1% 67% 12
2 DIGITAL SIGNAL IMAGE PROC 120085 1% 64% 9
3 EPS GANDIA 100449 1% 44% 11
4 DIGITAL CIRCUITS SIGNALS 41513 0% 100% 2
5 SECT ELECT INFORMAT SYST 41513 0% 100% 2
6 UP CULHUACAN 41513 0% 100% 2
7 AIRCRAFT ELECT ELECT 34578 1% 17% 10
8 SPEECH IMAGE PROC GRP 27674 0% 67% 2
9 SRI KRISHNA ENGN TECHNOL 27674 0% 67% 2
10 EDUC FRONTIER SCI 25541 0% 31% 4

Journals


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 26213 3% 3% 44
2 IEEE TRANSACTIONS ON IMAGE PROCESSING 25344 6% 1% 82
3 AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 18485 3% 2% 45
4 SIGNAL PROCESSING 17536 5% 1% 74
5 IEEE TRANSACTIONS ON SIGNAL PROCESSING 15091 6% 1% 85
6 ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 14600 2% 2% 29
7 IEEE SIGNAL PROCESSING LETTERS 12077 3% 1% 50
8 SIGNAL IMAGE AND VIDEO PROCESSING 9045 1% 2% 20
9 JOURNAL OF ELECTRONIC IMAGING 9014 2% 1% 30
10 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS 8520 2% 2% 27

Author Key Words


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class		 LCSH search Wikipedia search
1 MEDIAN FILTER 1650056 11% 47% 168 Search MEDIAN+FILTER Search MEDIAN+FILTER
2 IMPULSE NOISE 1559170 12% 43% 174 Search IMPULSE+NOISE Search IMPULSE+NOISE
3 SALT AND PEPPER NOISE 760363 3% 72% 51 Search SALT+AND+PEPPER+NOISE Search SALT+AND+PEPPER+NOISE
4 STACK FILTERS 724113 3% 81% 43 Search STACK+FILTERS Search STACK+FILTERS
5 RANDOM VALUED IMPULSE NOISE 442801 2% 89% 24 Search RANDOM+VALUED+IMPULSE+NOISE Search RANDOM+VALUED+IMPULSE+NOISE
6 NONLINEAR FILTERS 436757 7% 22% 97 Search NONLINEAR+FILTERS Search NONLINEAR+FILTERS
7 NOISE DETECTION 400186 3% 52% 37 Search NOISE+DETECTION Search NOISE+DETECTION
8 VECTOR MEDIAN FILTER 377388 1% 91% 20 Search VECTOR+MEDIAN+FILTER Search VECTOR+MEDIAN+FILTER
9 SWITCHING MEDIAN FILTER 336252 1% 90% 18 Search SWITCHING+MEDIAN+FILTER Search SWITCHING+MEDIAN+FILTER
10 WEIGHTED MEDIAN FILTER 324057 1% 71% 22 Search WEIGHTED+MEDIAN+FILTER Search WEIGHTED+MEDIAN+FILTER

Core articles
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c:
(1) Number of references referring to publications in the class.
(2) Share of total number of active references referring to publications in the class.
(3) Age of the article. New articles get higher score than old articles.
(4) Citation rate, normalized to year.


Rank Reference # ref.
in cl.		 Shr. of ref. in
cl.		 Citations
1 SMOLKA, B , MALIK, K , MALIK, D , (2015) ADAPTIVE RANK WEIGHTED SWITCHING FILTER FOR IMPULSIVE NOISE REMOVAL IN COLOR IMAGES.JOURNAL OF REAL-TIME IMAGE PROCESSING. VOL. 10. ISSUE 2. P. 289 -311 64 91% 5
2 MALINSKI, L , SMOLKA, B , (2016) FAST AVERAGING PEER GROUP FILTER FOR THE IMPULSIVE NOISE REMOVAL IN COLOR IMAGES.JOURNAL OF REAL-TIME IMAGE PROCESSING. VOL. 11. ISSUE 3. P. 427 -444 58 88% 3
3 MORILLAS, S , GREGORI, V , HERVAS, A , (2009) FUZZY PEER GROUPS FOR REDUCING MIXED GAUSSIAN-IMPULSE NOISE FROM COLOR IMAGES.IEEE TRANSACTIONS ON IMAGE PROCESSING. VOL. 18. ISSUE 7. P. 1452-1466 60 72% 50
4 CAMARENA, JG , GREGORI, V , MORILLAS, S , SAPENA, A , (2010) SOME IMPROVEMENTS FOR IMAGE FILTERING USING PEER GROUP TECHNIQUES.IMAGE AND VISION COMPUTING. VOL. 28. ISSUE 1. P. 188-201 47 96% 19
5 PITAS, I , VENETSANOPOULOS, AN , (1992) ORDER-STATISTICS IN DIGITAL IMAGE-PROCESSING.PROCEEDINGS OF THE IEEE. VOL. 80. ISSUE 12. P. 1893-1921 80 76% 199
6 XU, ZY , WU, HR , QIU, B , YU, XH , (2009) GEOMETRIC FEATURES-BASED FILTERING FOR SUPPRESSION OF IMPULSE NOISE IN COLOR IMAGES.IEEE TRANSACTIONS ON IMAGE PROCESSING. VOL. 18. ISSUE 8. P. 1742-1759 45 94% 12
7 TOH, KKV , ISA, NAM , (2012) AUGMENTED VARIATIONAL SERIES AND HISTOGRAM-BASED CLUSTERING FOR UNIVERSAL IMPULSE DENOISING.INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL. VOL. 8. ISSUE 9. P. 5969 -5998 39 91% 0
8 LUKAC, R , PLATANIOTIS, KN , (2006) A TAXONOMY OF COLOR IMAGE FILTERING AND ENHANCEMENT SOLUTIONS.ADVANCES IN IMAGING AND ELECTRON PHYSICS, VOL 140. VOL. 140. ISSUE . P. 187 -264 50 70% 65
9 TURKMEN, I , (2016) THE ANN BASED DETECTOR TO REMOVE RANDOM-VALUED IMPULSE NOISE IN IMAGES.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION. VOL. 34. ISSUE . P. 28 -36 32 89% 1
10 YUKSEL, Y , ALCI, M , YUKSEL, ME , (2010) PERFORMANCE ENHANCEMENT OF IMAGE IMPULSE NOISE FILTERS BY IMAGE ROTATION AND FUZZY PROCESSING.AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS. VOL. 64. ISSUE 4. P. 329 -338 36 97% 2

Classes with closest relation at Level 1


Rank Class id link
1 8459 MATHEMATICAL MORPHOLOGY//CONNECTED OPERATORS//MORPHOLOGICAL NEURAL NETWORKS
2 4655 IMAGE DENOISING//DENOISING//NON LOCAL MEANS
3 12344 SPECKLE REDUCTION//DESPECKLING//SPECKLE NOISE
4 27847 CONTINUOUS ATTRACTORS//HAMMING MAXNET//K WINNER MACHINE
5 36533 ARTIFICIAL COLOR//MARGIN SETTING//3 DIMENSIONAL NETWORKS
6 2836 TOTAL VARIATION//IMAGE RESTORATION//IMAGE DENOISING
7 9144 EDGE DETECTION//COLOR EDGE DETECTION//EDGE LOCALIZATION
8 22137 BLOCKING ARTIFACTS//DEBLOCKING//VIDEO POST PROCESSING
9 22202 DEMOSAICKING//COLOR FILTER ARRAY//COLOR FILTER ARRAY CFA
10 5685 HISTOGRAM EQUALIZATION//TONE MAPPING//IMAGE ENHANCEMENT

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