FPGA based star-sensor multimode image preprocessing method

Abstract

The present invention provides an FPGA based general multimode image preprocessing method comprising steps as follows: a processor sets image storing modes for a preprocessing circuit, which are three modes in total: an original image mode, a self-adaption grey weighted filtering mode and a window mode; in the original mode, sequentially storing data into an off-chip memory according to row and field signals; in the filtering mode, after conducting self-adaption gradient weighted filtering on image data, only storing the original grey value, filter grey value and row position information and column position information of active pixels which are larger than 0; in the windowing mode, conducting a window capturing process, in which the first byte of each frame of image data is a window number, the second byte is a row number, and the subsequent bytes are pixel data; computing the storage position of the first pixel in the row according to the window number and the row number, and then storing subsequent pixel data using the position as the head address. The present invention improves storage efficiency of an image preprocessing circuit and improves the processing and operation performance of system.

Description

technical field [0001] The invention relates to an FPGA-based multi-mode image preprocessing method of a star sensor, which is suitable for star point navigation preprocessing of a very high-precision star sensor and belongs to the technical field of star sensor image processing. Background technique [0002] Very high-precision star-sensitive cameras are widely used in starship rendezvous and docking and rendezvous measurement subsystems. The single-frame capture accuracy can reach 400W pixels. If the star point extraction operation is performed on the entire frame image in each control cycle, it will increase the load on the processor. Burden and consume a lot of control cycle time and system resources, so the entire frame information should be processed at the initial time point, after the star point position is captured, the star point extraction in the subsequent image sequence is completed in the window mode near the star point position, so as to Reduce the number of p...

AI Technical Summary

Problems solved by technology

[0010] At present, the research on multiple modes at home and abroad is still in its infancy, and no related detailed reports have been seen. There is an urgent need for a method that can realize image storage in multiple modes.

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