XU Bo-wen, WANG Min, LI Chen, WANG Peng-fei, WANG Guo-xing. Hardware design for image denoising using guided filter[J]. Microelectronics & Computer, 2019, 36(7): 22-26.
Citation: XU Bo-wen, WANG Min, LI Chen, WANG Peng-fei, WANG Guo-xing. Hardware design for image denoising using guided filter[J]. Microelectronics & Computer, 2019, 36(7): 22-26.

Hardware design for image denoising using guided filter

  • In the field of image denoising, the guided filter can reserve more image details and has a good edge-preserving effect. Comparing with other edge-preserving algorithm, the guided filter presents a higher efficiency. As a result, in the field of CMOS Image Process(CIS), the hardware design of the guided filter is able to process image denoising quickly and effectively. In this paper, based on the original algorithm of guided filtering, a hardware implementation method is proposed and used in the CIS. The pixels are divided into 8 channels to enter module for processing. Color mode is RGB. The highest clock frequency is 120 MHz and the pixels number processed per line by the module can reach 4 800. The total amount of the on-chip memory occupied by this module is 46.875 kB.Total LUTS occupy 13% resource of XCKU040.
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