Abstract
The camera imaging built with high dynamic range (HDR) techniques can effectively improve the quality of images and so increase the recognition rate for computer vision systems. This paper presents the parallel architecture with a pipelined schedule to realize a real-time HDR processor based on a high-performance algorithm. With the hardware-oriented design, the processing kernel employs a near approach to reduce the computational circuit. The full HDR chip is realized with the module-by-module design and simulation. The main modules include the inverse module, the dark enhancement circuit, the parameter statistics circuit, the picture type judgment circuit, the mixing circuit and the bright enhancement circuit. Finally, these modules are combined with the pipelined schedule to realize a high-speed HDR core. In total, the latency time of the circuit is 4 line-buffer length added 14 clocks. This circuit is mapping to one FPGA (Field Programmable Gate Array) chip to verify its performance. The results demonstrate that the operation frequency can achieve to near 120 MHz, and data throughput rate is 360 M bytes per second. This chip can output one RGB (Red, Green, Blue) pixel per cycle, which can meet the requirement of high-resolution HDR camera performance.
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References
Huo, Y., Yang, F.: High-dynamic range image generation from single low-dynamic range image. IET Image Process. 10(3), 198–205 (2016)
Lee, B.D., Sunwoo, M.H.: HDR image reconstruction using segmented image learning. IEEE Access 9, 142729–142742 (2021)
Purohit, M., Singh, M., Kumar, A., Kaushik, B.K.: Enhancing the surveillance detection range of image sensors using HDR techniques. IEEE Sensor J. 21(17), 19516–19528 (2021)
Park, J.S., Soh, J.W., Cho, N.I.: High dynamic range and super-resolution imaging from a single image. IEEE Access 6, 10966–10978 (2018)
Choi, S., Cho, J., Song, W., Choe, J., Yoo, J., Sohn, K.: Pyramid inter attention for high dynamic range imaging. Sensors 20(18), 1–16 (2020)
Hayat, N., Imran, M.: Multi-exposure image fusion technique using multi-resolution blending. IET Image Process. 13(13), 2554–2561 (2019)
Çoğalan, U., Akyüz, A.O.: Deep joint deinterlacing and denoising for single shot dual-ISO HDR reconstruction. IEEE Image Process. 29, 7511–7524 (2020)
Dave, H.S.N., Upadhyay, D.: Modelling and performance analysis of various CMOS applications based on recent technologies. In: 2015 IEEE International Conference on Computational Intelligence and Communication Networks, pp. 1345–1349 (2015)
Hirai, K., Osawa, N., Hori, M., Horiuchi, T., Tominaga, S.: High dynamic-range spectral imaging system for omnidirectional scene capture. J. Imaging 4(4), 53 (2018)
Zhan, B., Li, F., Lu, M.: HDR synthesis technology for spaceborne CMOS cameras based on virtual digital TDI. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 13, 3824–3833 (2020)
Hsia, S.C., Kuo, T.T.: High-performance high-dynamic-range image generation by inverted local patterns. IET Image Process. 9(12), 1083–1091 (2015)
Wu, X., Zhang, H., Hu, X., Shakeri, M., Fan, C., Ting, J.: HDR reconstruction based on the polarization camera. IEEE Robot. Autom. Lett. 5(4), 5113–5119 (2020)
Barman, N., Martini, M.G.: User generated HDR gaming video streaming: dataset, codec comparison, and challenges. EEE Trans. Circuits Syst. Video Technol. 32(3), 1236–1249 (2022)
Musil, M., Nosko, S., Zemcik, P.: De-ghosted HDR video acquisition for embedded systems. J. Real-Time Image Process. 18, 659–668 (2021). https://doi.org/10.1007/s11554-020-01001-x
Jang, H., Bang, K., Jang, J., Hwan, D.: Dynamic range expansion using cumulative histogram learning for high dynamic range image generation. IEEE Access 8, 38554–38567 (2020)
Rana, A., Singh, P., Valenzise, G., Dufaux, F., Komodakis, N., Smolic, A.: Deep tone mapping operator for high dynamic range images. IEEE Image Process. 29, 1285–1298 (2020)
Lee, S., An, G.H., Kang, S.: Deep chain HDRI: reconstructing a high dynamic range image from a single low dynamic range image. IEEE Access 6, 49913–49924 (2018)
Nosko, S., et al.: Color HDR video processing architecture for smart camera. J. Real-Time Image Process. 17, 555–566 (2020). https://doi.org/10.1007/s11554-018-0810-z
Chen, S.L., Chang, H.R.: Fully pipelined low-cost and high-quality color demosaicking VLSI design for real-time video applications. IEEE Trans. Circuits Syst. II Express Briefs 62(6), 588–592 (2015)
Yang, X., Zhou, W., Li, H.: MCFD: a hardware-efficient noniterative multicue fusion demosaicing algorithm. IEEE Trans. Circuits Syst. Video Technol. 31(9), 3575–3589 (2021)
Raina, P., Tikekar, M., Chandrakasan, A.P.: An energy-scalable accelerator for blind image deblurring. IEEE J. Solid-State Circuits 52(7), 1849–1862 (2017)
Katic, N., Popovic, V., Cojbasic, R., Schmid, A., Leblebici, Y.: A relative imaging CMOS image sensor for high dynamic range and high frame-rate machine vision imaging applications. IEEE Sensor J. 15(7), 4121–4129 (2015)
Lee, S.S., Lee, E., Hwang, Y., Jang, S.J.: Hardware implementation of fast high dynamic range processor for real-time 4K UHD video. In: 2016 International SoC Design Conference (ISOCC), pp. 309–310 (2016)
Borges, A., Braatz, L., Zatt, B., Porto, M., Corrêa, G.: Segmented spline hardware design for high dynamic range video pre-processor. In: 2017 30th IEEE Symposium on Integrated Circuits and Systems Design (SBCCI), pp. 143–148 (2017)
Hsu, P.H., Yeh, Y.M., Yeh, C.M., Lu, Y.C.: A high dynamic range light field camera and its built-in data processor design. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Yang, J., Shahnovich, U., Yadid-Pecht, O.: Mantissa-exponent-based tone mapping for wide dynamic range image sensors. IEEE Trans. Circuits Syst. II Express Briefs 67(1), 142–146 (2020)
Xilinx, the field programming gate array, Web: www.xilinx.com
Samir Palnitkar, “Veriolg HDL,” Prentice Hall, Nj07458, 1996
https://www.alldatasheet.com/datasheet-pdf/pdf/312992/ETRON/EM68B16CWPA-25H.html
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Ministry of Science and Technology, Taiwan (Grant no. 109-2221-E-224-042).
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Hsia, SC., Wang, SH. & Kuo, TT. VLSI architecture and implementation of HDR camera signal processor. J Real-Time Image Proc 20, 6 (2023). https://doi.org/10.1007/s11554-023-01262-2
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DOI: https://doi.org/10.1007/s11554-023-01262-2