A method of image rotation based on fpga

Abstract

The invention discloses an image rotation method based on FPGA, the method includes: taking the center of the image to be rotated as the origin (X ORIGIN , Y ORIGIN ) to establish an XY coordinate system, and the original image pixel coordinates (X 0 , Y 0 ) is divided into four quadrants, and the image rotation angle θ is divided into four situations, according to the original image pixel coordinates (X 0 , Y 0 ) is located in the quadrant and the different classifications of the image rotation angle θ to calculate the pixel coordinates (X, Y) after rotation, and write the data input by the video capture device at the corresponding address, and the FPGA is used to implement the above method. Compared with the traditional image rotation algorithm, many symbol operations and floating-point operations are more suitable for running in FPGA. While ensuring the real-time and smoothness of image rotation, it can be realized with only an entry-level FPGA. Compared with traditional GPU or DSP implementation methods, it reduces hardware costs and improves resource utilization efficiency.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image rotation method based on FGPA. Background technique [0002] With the advancement of image processing technology, as well as the improvement of the automation and intelligence level of industrial electronic equipment and electronic consumer goods, more and more electronic products are equipped with dedicated GPU for image processing or use DSP to do image processing algorithms, so that The functions of electronic products are becoming more and more powerful, and at the same time, the cost of the hardware of the whole machine is becoming higher and higher, which increases the complexity of hardware design. [0003] Image rotation is a commonly used image processing algorithm at present. When realizing the real-time image rotation function, because each pixel needs to be processed sequentially, the operation speed of the image rotation algorithm cannot be...

AI Technical Summary

Problems solved by technology

When realizing the real-time image rotation function, because each pixel needs to be processed sequentially, the operation speed of the image rotation algorithm cannot be lower than the speed of image scanning. In order to ensure the real-time and smoothness of image display, it is usually necessary to add GPU or DSP to the hardware Realize the algorithm, but the traditional image rotation algorithm involves many signed operations and floating-point operations, which is not suitable for implementation in FPGA

Images