DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Yongwoo | ko |
dc.contributor.author | Choi, Jae Seok | ko |
dc.contributor.author | Kim, Munchurl | ko |
dc.date.accessioned | 2018-09-18T06:35:45Z | - |
dc.date.available | 2018-09-18T06:35:45Z | - |
dc.date.created | 2018-09-10 | - |
dc.date.created | 2018-09-10 | - |
dc.date.issued | 2018-09 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v.65, no.9, pp.1274 - 1278 | - |
dc.identifier.issn | 1549-7747 | - |
dc.identifier.uri | http://hdl.handle.net/10203/245640 | - |
dc.description.abstract | Based On our previous super-interpolation method, we propose a novel hardware-friendly super-resolution (SR) algorithm, called HSI method, and its dedicated hardware architecture for up-scaling full-high-definition (FHD) video streams to 4K ultra-high-definition (UHD) video streams in real-time. Our proposed HSI method involves training and up-scaling steps. In the training step, an edge-orientation-based clustering is applied for low-resolution (LR) training patches to obtain a training patch set for each class, and a linear mapping kernel is learned from LR to high-resolution (HR) based on the training patch set for each class. In the up-scaling step, each LR input patch is transformed to an HR patch by applying the linear mapping kernel for its class. We implemented the up-scaling step of our HSI method by a dedicated hardware (HW) with the pre-trained linear mapping kernels stored in a look-up table. Our HW implementation, called HSI HW, contains 159K gate counts and achieves about 880 Mpixels/s throughput by using the TSMC 0.13-um CMOS process, and thus performing the SR operation from FHD to 4K UHD in real-time. Compared with conventional SR methods, our HVV implementation of HSI reconstructs HR images of higher peak signal to noise ratio values and better visual quality. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | 2X Super-Resolution Hardware Using Edge-Orientation-Based Linear Mapping for Real-Time 4K UHD 60 fps Video Applications | - |
dc.type | Article | - |
dc.identifier.wosid | 000443055200030 | - |
dc.identifier.scopusid | 2-s2.0-85041398739 | - |
dc.type.rims | ART | - |
dc.citation.volume | 65 | - |
dc.citation.issue | 9 | - |
dc.citation.beginningpage | 1274 | - |
dc.citation.endingpage | 1278 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | - |
dc.identifier.doi | 10.1109/TCSII.2018.2799577 | - |
dc.contributor.localauthor | Kim, Munchurl | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.