HessHist: A Hessian‐matrix weighted histogram for image contrast enhancement

For image contrast enhancement operation, it is a keypoint to obtain more natural enhanced results and keep details without distortion. In this paper, novel Hessian-matrix weighted histogram for proposed, which can improve the of smooth regions simultaneously restrain texture regions. proposed method, multi-scale fractional-order firstly utilized detect quantify information input image, explores that should be contrasted or restrained. Then, strong are suppressed by designed suppress function. Finally, on unsuppressed will count histogram, termed as Histogram (HessHist) in paper. According HessHist, corresponding cumulative distribution function realize operation image. real-time application, integral images introduced fast computation HessHist. Experimental show HessHist-based algorithm preserves distortion, competitive with state-of-the-art algorithms both subjective visual perception objective evaluation metrics.