A Low Illuminance Image Enhancement Algorithm Combining Light Compensation
Due to the uneven distribution of light in low illumination images,the current algorithms for direct enhancement have poor visual effects.Therefore,a low illumination image enhancement algorithm integrating light compensation is proposed.Based on the analysis results of the image imaging model under low illumination conditions,Gaussian smoothing is chosen to smooth the low illumination image to reduce noise and improve image quality.By normalization processing,compensation factor parameters that meet the same illuminance requirements are obtained.Based on the compensation factor,images with different illuminances are compensated for illumination to achieve uniform and consistent brightness.Using multi-level Haar wavelet transform to enhance the coarse and fine grained pixels of the image after illumination compensation,in order to improve the visual effect and clarity of the image.The test results show that the designed algorithm can achieve high-quality enhancement of low illumination images from the perspective of the human visual system and objective information distribution,and the actual image enhancement effect is good.
万方数据
维普
