FPGA real-time enhancing system of color image

Abstract

The invention relates to an FPGA real-time enhancing system of a color image. The system is characterized by high integrated level, high image processing speed and high instantaneity, and enables a processing system to be more compact in hardware and more reliable in operation. The system comprises a camera control module, a histogram statistics module, a VGA control module, a gray stretching algorithm module and a PLL control clock module, and is structurally characterized in that a Cameralink interface module is connected with the camera control module, the camera control module is connected with an RGB to HVS module and the histogram statistics module, the histogram statistics module is connected with an RAM 1 and an RAM 2, the RAM 2 is then connected with the gray stretching algorithm module, the RGB to HVS module is also connected with the gray stretching algorithm module, the gray stretching algorithm module outputs stretching data to an HVS to RGB module, and the VGA control module is connected with a VGA display module.

Description

technical field [0001] The invention belongs to the technical field of image enhancement, in particular to an FPGA real-time enhancement system for color images. Background technique [0002] At present, image enhancement is mainly to convert the image into a form that is more suitable for human observation or machine analysis and recognition, to improve the quality and visual effect of the image, so as to obtain clearer, clearer and usable images rich in a lot of useful information, image enhancement Technology plays an important role in military affairs, remote sensing biology, public security, medical engineering, etc. Image enhancement technology has been widely used in the processing of grayscale images. [0003] However, with the widespread use of color images in recent years, there is an obvious demand for color image enhancement technology. Since the R, G, and B components of the color image are not independent of each other, directly enhancing the color image will ...

AI Technical Summary

Problems solved by technology

For the enhancement of grayscale images, the commonly used method is histogram equalization, but using this method to enhance aerial images may easily cause the texture of the image to be unclear, and the details of the information cannot be maximized.

Segmented stretching of images is also a common algorithm, but the key point of the segmented stretching algorithm is the selection of segment points, and a slight selection of segment points will affect the enhancement effect of the entire image

[0004] In the hardware implementation of image enhancement, DSP was initially used, but DSP has a delay in the process of receiving and processing data, and it is difficult to meet the real-time requirements

Later, it developed into an architecture of DSP+FPGA. This kind of system has relatively high computing speed, strong flexibility and versatility, but the cost is also high, and the communication between DSP and FPGA is also relatively complicated.

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