Hao Fang

TL;DR: Results on real low-contrast optical remote sensing images demonstrate that the proposed image enhancement scheme outperforms the state-of-the-arts in terms of brightness improvement, contrast enhancement, and detail preservation.

TL;DR: Experimental results demonstrate that the proposed image enhancement with the AGCCH method can perform well in brightness preservation, contrast enhancement, and detail preservation, and it is superior to previous state-of-the-art methods.

TL;DR: An efficient contact-point detection (CPD) scheme to detect contact-points from these complex infrared images, including the following three key components, including an improved RANSAC strategy, is presented.

TL;DR: Experimental results verify the effectiveness of the proposed JHVET method in both quantitation and qualification, and the performance with high detection accuracy (98.23%), low average pixel error (0.523 pixel), and satisfactory detection rate is very suitable for its extensive application.

TL;DR: A novel smooth and convex surrogate function, which is closer to the rank norm, is firstly proposed as a replacement of the prior nuclear norm, then, the proposed surrogate function is approximated by its first-order Taylor expansion.