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基于深度特征维纳反卷积的均匀离焦盲去模糊

Q3 Materials Science
Guangxue Jingmi Gongcheng/Optics and Precision Engineering Pub Date : 2023-01-01 DOI:10.37188/ope.20233118.2713
Chengxi WANG, Chen LUO, Jianghao ZHOU, Lang ZOU, Lei JIA
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引用次数: 0

摘要

""我的朋友餈銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵冽嫣噶瘜敺撣貉銵散焦、盲点、去光 Netï¼UDBD-Net.Net是一个基于网络的视频会议系统。Feature-(特征)基于Wiener Deconvolution的FWD编码器。Decoder Net：峰值信噪比（PSNR）31.16 dB36.16 dB：16 dB。在这里，你可以学到很多东西。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Uniform defocus blind deblurring based on deeper feature-based wiener deconvolution
å·¥ä¸šç²¾å¯†åˆ¶é€ ä¸­ï¼Œè§†è§‰æ£€æµ‹è®¾å¤‡çš„æˆåƒç³»ç»Ÿå¾€å¾€æ™¯æ·±è¾ƒå°ï¼Œæ˜“äº§ç”Ÿç¦»ç„¦æ¨¡ç³Šï¼Œä¸¥é‡å½±å“æ£€æµ‹æ•ˆæžœã€‚é’ˆå¯¹è¿™ä¸€é—®é¢˜ï¼Œæå‡ºäº†ä¸€ç§é’ˆå¯¹äºŽå‡åŒ€ç¦»ç„¦å›¾åƒçš„ç›²åŽ»æ¨¡ç³Šç½‘ç»œï¼ˆUniform Defocus Blind Deblur Net，UDBD-Netï¼‰ã€‚é¦–å ˆï¼Œæå‡ºä¸€ç§æ¨¡ç³Šæ ¸ä¼°è®¡ç½‘ç»œï¼Œæå–ç¦»ç„¦æ¨¡ç³Šçš„ç‰¹å¾ï¼Œå¹¶å‡†ç¡®åœ°ä¼°è®¡å‡ºæ¨¡ç³Šæ ¸ï¼›å ¶æ¬¡ï¼Œæå‡ºä¸€ç§åå·ç§¯ç½‘ç»œï¼Œé€šè¿‡ç¥žç»ç½‘ç»œå­¦ä¹ å¹¶ä¼°è®¡åŸºäºŽç‰¹å¾ç»´çº³åå·ç§¯ï¼ˆFeature-based Wiener Deconvolution，FWDï¼‰å ¬å¼ä¸­çš„æœªçŸ¥é‡ï¼Œæ›´å‡†ç¡®åœ°ç”ŸæˆåŽ»æ¨¡ç³Šå›¾åƒçš„æ½œåœ¨ç‰¹å¾ï¼›æœ€åŽï¼Œä½¿ç”¨ä¸€ä¸ªç¼–è§£ç ç½‘ç»œï¼ˆEncoder-Decoder Net）增强图像的细节，并去除伪影。实验结果表明，该方法在DIV2K和GOPRO图片上的峰值信噪比（Peak Signal to Noise Ratio，PSNR）分别达到31.16 dB和36.16 dBï¼›ä¸Žç›®å‰ä¸»æµçš„æ–¹æ³•ç›¸æ¯”ï¼Œè¯¥æ–¹æ³•åœ¨ä¸æ˜¾è‘—å¢žåŠ æ¨¡åž‹æŽ¨ç†æ—¶é—´çš„åŒæ—¶èƒ½å¤Ÿå¤åŽŸå‡ºæ›´é«˜è´¨é‡ã€æ›´è‡ªç„¶åœ°åŽ»æ¨¡ç³Šå›¾åƒã€‚æ­¤å¤–ï¼Œè¯¥æ–¹æ³•å¯¹çœŸå®žçš„å‡åŒ€ç¦»ç„¦æ¨¡ç³Šå›¾åƒä¹Ÿæœ‰è¾ƒå¥½çš„åŽ»æ¨¡ç³Šæ•ˆæžœï¼Œä¸”èƒ½å¤Ÿæ˜¾è‘—æå‡å·¥ä¸šè§†è§‰æ£€æµ‹ç®—æ³•å¯¹äºŽç¦»ç„¦æ¨¡ç³Šå›¾åƒçš„æ£€æµ‹æ•ˆæžœã€‚
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来源期刊
Guangxue Jingmi Gongcheng/Optics and Precision Engineering
Guangxue Jingmi Gongcheng/Optics and Precision Engineering Materials Science-Electronic, Optical and Magnetic Materials
CiteScore
2.40
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0.00%
发文量
95
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