<p>This paper presents a saliency and contrast mapping-based enhancement technique for dark images with web application. The dark images are not favorable to computer vision systems and human observations because of their low brightness. To solve this issue, various enhancement algorithms have been suggested but still those methods suffer from over enhancement and under enhancement problems. This paper proposes a multi-weighted fusion structure for uneven illuminated image enhancement, which is based on the human visual system. Saliency and contrast based image fusion algorithm is capable of providing a good contrast and illumination. Specifically, first multiple instances of input image are derived which deal with illumination estimation. Then, the saliency and contrast weight mapping are designed for fusion to obtain an adjusted illumination component. Then gamma correction is employed to obtain final adjusted illumination component, which is combined with reflectance of the image in subsequent step to obtain a final enhanced output. Experimental results show that the proposed method produces results with good contrast and brightness when is compared to various state-of-the-art enhancement techniques.</p>