In this study, a new illumination boost algorithm is proposed. Night time images are often obtained with low brightness, deficient contrast, and latent colors. Thus, it is important to improve such aspects in order to obtain acceptable quality images. Hence, the proposed algorithm can improve the brightness, ameliorate contrast and process the colors of night time images properly. Accordingly, the proposed algorithm utilizes only a small number of steps and uses several processing concepts to achieve the desired results.
Intensive experiments and tests with various natural-degraded nighttime images are made to validate the performance of the proposed algorithm. In addition, it is compared with eight contemporary algorithms, and the obtained results from these comparisons are evaluated using two specialized image quality assessment metrics. Using the results of the achieved experiments and comparisons, it became evident that the proposed algorithm can provide satisfactory outcomes, in which it provided visually pleasing results and outperformed the comparison algorithms in terms of scored accuracy and visual quality.
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