Image Enhancement and Brightness Equalization Algorithms in Low Illumination Environment Based on Multiple Frame Sequences

Images captured in low illumination environments can affect people’s judgment of image information. To raise the visual effect images and preserve integrity information, this study proposes two algorithms. One is an enhancement algorithm for illumination, which combines WASOBI denoising method deep adaptive gamma correction brightness adjustment images. The other equalization uneven lighting. This divides according to area, uses guided filtering equalize image. laboratory outcomes demonstrate that proposed effectively reduce noise level adjust image, has a certain degree stability. subjective evaluation score processed using 4.7, indicating good effects. objective results prove capability equilibrium algorithm, comparing algorithms, shortest operation time, only 0.9452 seconds. Therefore, article have application value.