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http://dx.doi.org/10.7471/ikeee.2018.22.4.901

Real-Time LDR to HDR Conversion Hardware Implementation using Luminance Distribution  

Lee, Seung-min (Dept. of Electronic Engineering, Dong-A University)
Kang, Bong-soon (Dept. of Electronic Engineering, Dong-A University)
Publication Information
Journal of IKEEE / v.22, no.4, 2018 , pp. 901-906 More about this Journal
Abstract
Due to the development of display technologies for images, the resolution and quality of images are increasing day by day. In accordance with the development of the display technology, researches have been actively conducted on technologies for converting and displaying existing images to higher resolution and quality. Since the results of theses studies are included in the image signal processor, hardware implementation is indispensable. In this paper, we propose a real-time HDR(High Dynamic Range) conversion hardware implementation of LDR(Low Dynamic Range) image using luminance distribution. The proposed method extracts the features of the image using the histogram of the luminance distribution, and extends the luminance and color based on the extracted features. In addition, when the proposed method is designed by hardware IP(Intellectual Property) and its performance is verified, 4K DCI(Digital Cinema Image) can be handled at a rate of 30fps at 265.46MHz.
Keywords
LDR; HDR; dynamic range conversion; hardware implementation; FPGA;
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1 ITU-R standard, Rec. ITU-R BT.2020, ITU-R, 2014.
2 ITU-R standard, Rec. ITU-R BT.2100, ITU-R, 2016.
3 SMPTE standard, SMPTE 2036-1, SMPTE, 2009.
4 R. Saha, P. P. Banik, and K. D. Kim, "Conversion of LDR image to HDR-like image through high-level synthesis tool for FPGA implementation," 2018 IEEE International Conference on Consumer Electronics (ICCE2018), pp.1-2, 2018. DOI:10.1109/ICCE.2018.8326111   DOI
5 G. D. Licciardo, C. Cappetta, and L. D. Benedetto, "Design and FPGA implementation of a real-time processor for the HDR conversion of images and videos," 2018 8th Computer Science and Electronic Engineering (CEEC2016), pp. 192-197, 2016. DOI:10.1109/CEEC.2016.7835912   DOI
6 C. Cappetta, G. D. Licciardo, and L. D. Benedetto, "An FPGA oprimization of a multiple resolution architecture for LDR to HDR image conversion," International Symposium on Signals, Circuits and Systems (ISSCS2017), pp.1-4, 2017. DOI:10.1109/ISSCS.2017.8034902   DOI
7 T. Ai, M. A. Ali, G. Steffan, K. Ovtcharov, S. Zulfiqar, and S. Mann, "Real-time HDR video imaging on FPGA with compressed comparametric lookup tables," 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE2014), pp.1-6, 2014. DOI:10.1109/CCECE.2014.6901124   DOI
8 G. Fu, L. Shen, H. Yang, X. Hu, and P. An, "Fast Intra Coding of High Dynamic Range Videos in SHVC," IEEE Signal Processing Letters, vol.25, no.11, pp.1665-1669, 2018. DOI:10.1109/LSP.2018.2867895   DOI
9 S. Park, S. Yu, M. Kim, K. Park, and J. Paik, "Dual Autoencoder Network for Retinex-Based Low-Light Image Enhancement," IEEE Access, vol.6, pp.22084-22093, 2018. DOI:10.1109/ACCESS.2018.2812809   DOI
10 S. Mandal, X. L. Dean-Ben, and D. Razansky, "Visual Quality Enhancement in Optoacoustic Tomography Using Active Contour Segmentation Priors," IEEE Transactions on Medical Imaging, vol.35, no.10, pp.2209-2217, 2016. DOI:10.1109/TMI.2016.2553156   DOI
11 H. Cho, G. J. Kim, K. Jang, S. L, and B. Kang, "Color Image Enhancement Based on Adaptive Nonlinaer Curves of Luminance Features," Journal of Semiconductor Technology and Science, vol.15, no.1, pp.60-67, 2015. DOI:10.5573/JSTS.2015.15.1.060   DOI
12 XILINX, "AMBA AXI4 Interface Protoceol," https://www.xilinx.com/products/intellectual-property/axi.html
13 S. Lee, D. Kim, and C. Kim, "Ramp Distribution-Based Image Enhancement Techniques for Infrared Images," IEEE Signal Processing Letters, vol.25, no.7, pp.931-935, 2018. DOI:10.1109/LSP.2018.2834429   DOI
14 K. Park, S. Yu, S. Park, S. Lee, and J. Paik, "An Optimal Low Dynamic Range Image Generation Method Using a Neural Network," IEEE Transactions on Consumer Electronics, vol.64, no.1, pp.69-76, 2018. DOI:10.1109/TCE.2018.2811257   DOI