Description

The cameras for Surveillance videos were sometimes placed in dim light conditions. The objects in the videos may be not clearly visible due to poor lighting conditions. A method that enhances the low illuminant videos without modifying much in the color information’s were proposed. The video frames were filtered and tone mapped based on Non-local means filter and kalman filter. In the noise reduction process two different noises like spectral noise and temporal noise. In kalman filter the updation and the prediction steps were included for the estimation of the noises. The performance of the process is measured on the basis of the PSNR, SSIM, GCF, NIQE calculation. Low-light noise is a significant problem in photography. Most of the cameras have poor low-light characteristics, which typically result in images with noticeable white noise or speckle noise. For moving cameras blur can occur in the images due to the motion in the cameras and as a result blurry image is obtained. Active lighting in the form of a flash is not always viable as it causes color aberrations and is effective only for nearby objects. The color informations has to be preserved and also the noises in the images has to be removed. The application of the noise removal process can be effective when developed in software environment. A software-based approach to suppress the noise effects in low-light images, making it possible to capture sharp as well as noise-free images with short exposures and also the low light images were tone mapped in order to obtain enhanced video revealing the original color informations in the videos. The proposed enhancement methods enhances the images based on Tone mapping and also noise removal process were applied in stepwise procedure to remove the noises occurring in the videos while applying tone mapping process. The comparison of the performances indicates that the proposed method is more efficient.