A low-light image enhancement method based on GPU

Abstract

The invention is suitable for the field of internet communication, and discloses a graphic processing unit (GPU)-based low-luminance image enhancement method. According to the method, a model is programmed by using a compute unified device architecture (CUDA). The method comprises the following steps of: acquiring red green blue (RGB) channel data of an original image and size information of the original image; initializing a GPU, namely determining the thread number of executing a Kernel function according to the size of the original image; starting the Kernel function to solve a luminance component of the original image, and performing image enhancement processing on the original luminance component, wherein the luminance component processing comprises the non-linear modulation and contrast enhancement of the luminance component; starting the Kernel function, restoring the color of the image, returning a calculation result to a central processing unit (CPU) end, and saving as a picture; and releasing a GPU video memory. By the method, the self-adaption regulation of the image luminance is realized, and the contrast enhancement is performed by a high-dimensional space image geometric method, so that a halation phenomenon is avoided; and particularly, acceleration is performed by using the GPU, so that the processing speed is improved effectively.

Description

technical field [0001] The invention belongs to the field of Internet communication, and in particular relates to a GPU-based low-illuminance image enhancement method. Background technique [0002] Image enhancement is an important technical field in digital image processing. Since the image acquisition process is easily affected by the external environment, such as night, fog or rainy days, the image quality will be greatly reduced. Therefore, the purpose of image enhancement is to adjust the dynamic range of the image, increase the contrast of the image to highlight the details of the image, and improve the visual quality of the image, thereby providing information assurance for intelligent monitoring, aerospace and other fields. [0003] Image enhancement based on histogram adjustment is widely used as a classic algorithm, such as histogram equalization and histogram matching. Although the image enhancement based on histogram can improve the contrast between the bright a...

AI Technical Summary

Problems solved by technology

On the other hand, with the development of technology, the resolution of the collected images continues to increase, and the problem of image enhancement is often faced with massive data, especially when the algorithm complexity is high, it is expected that only relying on the CPU to achieve high-quality and efficient completion of processing tasks is a huge problem. difficulty

Images