Low-light image enhancement based on FPGA - Details

Author：

Peng, Xiaohong (Peng, Xiaohong.) | Li, Xuefeng (Li, Xuefeng.) | Geng, Shuqin (Geng, Shuqin.) | Wang, Jie (Wang, Jie.) | Nie, Fengjun (Nie, Fengjun.)

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EI Scopus

Abstract：

This　paper　studies　FPGA　image　processing,　and　proposes　two　methods　to　improve　FPGA　image　processing　acceleration,　data　reorganization　and　multi-processing　modules.　Both　methods　use　ARM　as　the　data　control　module.　Data　reorganization　improves　the　transmission　efficiency　of　the　AXI　bus　by　merging　data,　and　the　multiprocessing　module　improves　the　parallelism　of　the　processing　system　by　adding　processing　modules.　Finally,　these　two　methods　are　used　to　realize　the　low-　light　image　enhancement　algorithm　combining　wavelet　transform　and　Retinex　algorithm,　and　compared　with　the　processing　effect　on　matlab,　and　good　results　are　obtained.　©　2021　IEEE.

Keyword：

Data handling Field programmable gate arrays (FPGA) Image enhancement Wavelet transforms

Author Community：

[ 1 ] [Peng, Xiaohong]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 2 ] [Li, Xuefeng]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 3 ] [Geng, Shuqin]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 4 ] [Wang, Jie]Beijing University of Technology, Faculty of Information Technology, Beijing, China
[ 5 ] [Nie, Fengjun]Beijing University of Technology, Faculty of Information Technology, Beijing, China

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Source ：

ISSN： 2163-5048

Year： 2021

Volume： 2021-October

Page： 66-69

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 4

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 12

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