Abstract
An approach to image enhancement through artificial neural network's (ANN) processing is proposed. The structure and weights of ANN are tuned with use of evolutionary concept. Each image is processed in pixel-by-pixel manner using pixels' local characteristics that are calculated approximately to increase the processing speed but preserving satisfactory calculations' error. The two-step procedure for image enhancement is proposed: (1) local level processing using ANN; (2) global level autoleveling algorithm. The results for the proposed two-step image enhancement procedure are presented and compared with that of some alternative approaches.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 593-602 |
| Number of pages | 10 |
| Volume | 4193 LNCS |
| Publication status | Published - 2006 |
| Event | 9th International Conference on Parallel Problem Solving from Nature, PPSN IX - Reykjavik, Iceland Duration: 9 Sep 2006 → 13 Sep 2006 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4193 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 9th International Conference on Parallel Problem Solving from Nature, PPSN IX |
|---|---|
| Country | Iceland |
| City | Reykjavik |
| Period | 9.9.06 → 13.9.06 |
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ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Digital images enhancement with use of evolving neural networks. / Tsoy, Yuri; Spitsyn, Vladimir.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4193 LNCS 2006. p. 593-602 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4193 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Digital images enhancement with use of evolving neural networks
AU - Tsoy, Yuri
AU - Spitsyn, Vladimir
PY - 2006
Y1 - 2006
N2 - An approach to image enhancement through artificial neural network's (ANN) processing is proposed. The structure and weights of ANN are tuned with use of evolutionary concept. Each image is processed in pixel-by-pixel manner using pixels' local characteristics that are calculated approximately to increase the processing speed but preserving satisfactory calculations' error. The two-step procedure for image enhancement is proposed: (1) local level processing using ANN; (2) global level autoleveling algorithm. The results for the proposed two-step image enhancement procedure are presented and compared with that of some alternative approaches.
AB - An approach to image enhancement through artificial neural network's (ANN) processing is proposed. The structure and weights of ANN are tuned with use of evolutionary concept. Each image is processed in pixel-by-pixel manner using pixels' local characteristics that are calculated approximately to increase the processing speed but preserving satisfactory calculations' error. The two-step procedure for image enhancement is proposed: (1) local level processing using ANN; (2) global level autoleveling algorithm. The results for the proposed two-step image enhancement procedure are presented and compared with that of some alternative approaches.
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M3 - Conference contribution
AN - SCOPUS:33750271692
SN - 3540389903
SN - 9783540389903
VL - 4193 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 593
EP - 602
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -