Based on CMOS image sensors, this paper focuses on the study of stable and efficient control systems for image signal processing chips, as well as high-quality key image processing technologies suitable for hardware implementation, laying a good foundation for the study of monolithic integrated systems of CMOS image sensors. The specific research results are: 1. A bus system based on I2C bus and APB bus is constructed to complete the data flow division of the system, ensuring the stable operation of the system and providing efficient data transmission capabilities. 2. The gamma correction function suitable for hardware implementation is studied and implemented. 3. On this basis, the shortcomings of the current gamma correction algorithm and automatic contrast enhancement algorithm are analyzed, and an improved image enhancement algorithm is proposed by using multiplexing tables and curve fitting. The resource waste in gamma correction and the over-threshold problem in contrast enhancement are solved. While saving system hardware overhead, the image processing effect is greatly improved. The entire design process has gone through floating-point algorithm design, RTL design, fixed-point verification model design, and strict comparative verification of fixed-point model algorithm and RTL design. Finally, it is verified on the FPGA platform. The test shows that the system stably and efficiently achieves the predetermined design goals, and better realizes the control system and key image processing unit of CMOS image sensors under the premise of low resource overhead.
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