{"title":"一种适用于高性能五摄像头移动设备的250mW 5.4G像素/真实感重聚焦处理器","authors":"Po-Han Chen;Shu-Wen Yang;Chao-Tsung Huang","doi":"10.1109/OJSSCS.2023.3244759","DOIUrl":null,"url":null,"abstract":"Digital refocusing in multicamera mobile devices is becoming crucial. Realistic refocusing, which is a subset of digital refocusing, provides physically correct quality; however, its intense computational complexity results in low processing speed and restricts its applicability. Moreover, its complex computation flow requires substantial DRAM bandwidth and a large SRAM area, making it more challenging to implement in hardware. In this article, we present a high-performance refocusing processor based on a hardware-oriented realistic refocusing algorithm. The proposed compact computation flow saves 92% of the DRAM bandwidth and 32% of the SRAM area without noticeable quality degradation. To support high-performance refocusing, we develop highly paralleled engines for view rendering. They deliver 5.4G rendered-pixel/s throughput. The hardware accelerator improves the processing speed by \n<inline-formula> <tex-math>$100\\times $ </tex-math></inline-formula>\n to \n<inline-formula> <tex-math>$350\\times $ </tex-math></inline-formula>\n that of the original refocusing algorithm running on a general-purpose processor. The chip is fabricated with 40-nm CMOS technology and comprises 271 kB of SRAM and 2.3M logic gates. The chip processes Full-HD light fields up to 40 frames/s under 250 mW power consumption.","PeriodicalId":100633,"journal":{"name":"IEEE Open Journal of the Solid-State Circuits Society","volume":"3 ","pages":"52-62"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8782712/10019316/10044201.pdf","citationCount":"0","resultStr":"{\"title\":\"A 250-mW 5.4G-Rendered-Pixel/s Realistic Refocusing Processor for High-Performance Five-Camera Mobile Devices\",\"authors\":\"Po-Han Chen;Shu-Wen Yang;Chao-Tsung Huang\",\"doi\":\"10.1109/OJSSCS.2023.3244759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital refocusing in multicamera mobile devices is becoming crucial. Realistic refocusing, which is a subset of digital refocusing, provides physically correct quality; however, its intense computational complexity results in low processing speed and restricts its applicability. Moreover, its complex computation flow requires substantial DRAM bandwidth and a large SRAM area, making it more challenging to implement in hardware. In this article, we present a high-performance refocusing processor based on a hardware-oriented realistic refocusing algorithm. The proposed compact computation flow saves 92% of the DRAM bandwidth and 32% of the SRAM area without noticeable quality degradation. To support high-performance refocusing, we develop highly paralleled engines for view rendering. They deliver 5.4G rendered-pixel/s throughput. The hardware accelerator improves the processing speed by \\n<inline-formula> <tex-math>$100\\\\times $ </tex-math></inline-formula>\\n to \\n<inline-formula> <tex-math>$350\\\\times $ </tex-math></inline-formula>\\n that of the original refocusing algorithm running on a general-purpose processor. The chip is fabricated with 40-nm CMOS technology and comprises 271 kB of SRAM and 2.3M logic gates. The chip processes Full-HD light fields up to 40 frames/s under 250 mW power consumption.\",\"PeriodicalId\":100633,\"journal\":{\"name\":\"IEEE Open Journal of the Solid-State Circuits Society\",\"volume\":\"3 \",\"pages\":\"52-62\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/iel7/8782712/10019316/10044201.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of the Solid-State Circuits Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10044201/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Solid-State Circuits Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10044201/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 250-mW 5.4G-Rendered-Pixel/s Realistic Refocusing Processor for High-Performance Five-Camera Mobile Devices
Digital refocusing in multicamera mobile devices is becoming crucial. Realistic refocusing, which is a subset of digital refocusing, provides physically correct quality; however, its intense computational complexity results in low processing speed and restricts its applicability. Moreover, its complex computation flow requires substantial DRAM bandwidth and a large SRAM area, making it more challenging to implement in hardware. In this article, we present a high-performance refocusing processor based on a hardware-oriented realistic refocusing algorithm. The proposed compact computation flow saves 92% of the DRAM bandwidth and 32% of the SRAM area without noticeable quality degradation. To support high-performance refocusing, we develop highly paralleled engines for view rendering. They deliver 5.4G rendered-pixel/s throughput. The hardware accelerator improves the processing speed by
$100\times $
to
$350\times $
that of the original refocusing algorithm running on a general-purpose processor. The chip is fabricated with 40-nm CMOS technology and comprises 271 kB of SRAM and 2.3M logic gates. The chip processes Full-HD light fields up to 40 frames/s under 250 mW power consumption.