Motion blur image restoration system based on multi-core

Abstract

The invention discloses a motion blur image restoration system based on multi-core. In the system, a preprocessing and logic transfer module preprocesses video frames collected by a video collecting and decoding module and temporarily stores the preprocessed video frames in a high-speed data buffer module, the core calculation of a preprocessing module is finished by adopting an FPGA (Field Programmable Gate Array), and the high-speed data buffer module is based on DDR SDRAM (Digital Data Receiver Synchronous Dynamic Random Access Memory). A double-core processing module reads the video frames in a high-speed data cache through the preprocessing and logic transfer module and carries out image compensation. The double-core processing module is established by adopting two DSPs (Digital Signal Processor), and video subject to parallel processing is played back in a playback module. In the system, the processing work of video is distributed to two parts, and by adopting the preprocessing of the FPGA and the high-speed reading and writing based on the DDR SDRAM data cache, the high-efficiency performance of double DSP core parallel calculation can effectively finish the tasks of image compensation and restoration.

Description

technical field [0001] The invention relates to the technical field of motion blur image restoration, in particular to a motion blur image restoration system based on multi-core, which completes motion blur image compensation and is suitable for high-speed motion blur image restoration research. Background technique [0002] High-precision real-time optical remote sensing motion imaging requires the ideal motion of the platform, but the platform will form complex multi-mode non-ideal motion under the influence of external environment and internal disturbances, resulting in blurring, defocusing, deformation, and pixel aliasing in optical remote sensing motion imaging. lead to severe degradation. Remote sensing motion imaging has a large amount of information and high resolution, and the image restoration algorithm is generally more complex and requires a lot of calculation. Therefore, the research and development of high-speed image restoration system is particularly importa...

AI Technical Summary

Problems solved by technology

[0002] High-precision real-time optical remote sensing motion imaging requires the ideal motion of the platform, but the platform will form complex multi-mode non-ideal motion under the influence of external environment and internal disturbances, resulting in blurring, defocusing, deformation, and pixel aliasing in optical remote sensing motion imaging. lead to serious degradation

Remote sensing motion imaging has a large amount of information and high resolution, and the image restoration algorithm is generally more complex and requires a lot of calculation

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