Night Image Enhancement Using Selective Filters
Maleerat Sodanil, Siranee Nuchitprasitchai, Chalermpong Intarat · 2017
In this paper, we propose the technique of image enhancement to improve the quality of the outdoor night video from the video surveillance system. The sub-image homomorphic filtering technique is applied for using selective filters. The process started by dividing video clip into images frames, then separating into both horizontal and vertical parts before enhancing with homomorphic filtering method. Furthermore, the scene information of outdoor night video and the highlight details are recovered. The data source video was recorded only in the night time. The results show that the HMMOD method with BBRF is given an average of PSNR equal to 29.6227 dB, NC equal to 0.9961 and BNRF given average of PSNR equal to 22.5129 dB, NC equal to 0.9910, compared with the original images from ten outdoor videos at night. Therefore, the experiment shows that the proposed method can be used to improve the performance of video surveillance system in terms of PNSR and NC.