fundoplication
发表于 2025-3-21 16:41:49
书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0232397<br><br> <br><br>书目名称Computational Intelligence Methods for Super-Resolution in Image Processing Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0232397<br><br> <br><br>
不愿
发表于 2025-3-21 20:34:27
Book 2021uper-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomed
accordance
发表于 2025-3-22 03:28:54
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柔声地说
发表于 2025-3-22 05:55:57
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EWE
发表于 2025-3-22 09:17:38
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草率女
发表于 2025-3-22 14:14:16
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草率女
发表于 2025-3-22 20:07:43
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folliculitis
发表于 2025-3-22 23:29:59
Image Enhancement Using Nonlocal Prior and Gradient Residual Minimization for Improved Visualizationr (NLP) output works with robust GRM, reinforcing the edge strength and detail in the image post removal of underwater haze. The execution of the NLP-GRM algorithm has been observed by quantitative metrics and subjectively as well. The experimental results demonstrate that the NLP-GRM is superior to existing underwater enhancement methods.
杀死
发表于 2025-3-23 05:11:51
Relative Global Optimum-Based Measure for Fusion Technique in Shearlet Transform Domain for Prognosiatial frequency (.) of the HFSI images. The efficient choice of fitness function helps the whole swarm converge to the optimum location in a shorter time. The fused information is restored by employing inverse NSST. The superiority of the proposed scheme is demonstrated in the experimental results.
Aids209
发表于 2025-3-23 07:04:08
https://doi.org/10.1007/978-3-642-65826-6ils super-resolution involvement in various applications such as in medical imaginary, satellite imaginary, forensic and surveillance, and biometric; and (iv) elaborates further on the importance of super-resolution alongside computational intelligence.