Background prediction applied in the correction of defective pixels based on FPGA

Lu Liu; Huhu Wang; Qianqian Lei; Yanfei Yang

doi:10.1117/12.2600464

1 June 2021 Background prediction applied in the correction of defective pixels based on FPGA

Lu Liu, Huhu Wang, Qianqian Lei, Yanfei Yang

Proceedings Volume 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021); 118480R (2021) https://doi.org/10.1117/12.2600464
Event: International Conference on Signal Image Processing and Communication (ICSIPC 2021), 2021, Chengdu, China

Abstract

For digital images described by 8-bit gray level, background prediction can be applied as the correction algorithm to detect and correct the defective pixels existing in the image, the correction can be completed based on FPGA and d imaging devices such as DVI and VGA. In this paper, we applied an improved background prediction that employs median filter as defective pixels prediction, with the median filter results to correct point defective pixels, while square root analysis is employed to correct block ones with improvements of background reset and iteration. Results show that the proposed background prediction can correct the defective pixels of captured images effectively.

Citation Download Citation

Lu Liu, Huhu Wang, Qianqian Lei, and Yanfei Yang "Background prediction applied in the correction of defective pixels based on FPGA", Proc. SPIE 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021), 118480R (1 June 2021); https://doi.org/10.1117/12.2600464

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