The image haze removal algorithm is challenging regarding computational processing speed and the hazy effect. Instead of using local patch approach, which assumes scene transmission to be locally constant uses various filters smooth map, this paper proposes a fast single method based on minimum channel patchless approach. A new simple approach estimate atmospheric light proposed images. histogr...

A novel strategy is proposed to address block artifacts in a conventional dark channel prior (DCP). The DCP was used estimate the transmission map based on patch-based processing, which also results image blurring. To enhance degraded image, single-image dehazing technique restores blurred with refined hidden Markov random field. Therefore, algorithm estimates that can reduce and improve clarit...

Aerial image dehazing is an important preprocessing step, since haze extremely degrades the imaging quality and affects subsequent applications of aerial imagery. Most current removal methods achieve encouraging performance by relying on paired synthetic data, while are limited to their generality scalability in practical tasks. To this end, paper aims learn effective unsupervised model from un...

A few readers of my last two columns may have suspected that something was afoot. Well the explanation is quite simple. I wanted to set the record straight. After seven years of labour in the field, 84 columns, I go on to a well-deserved rest. I find it hard to believe, but there must be some graduate students who began reading me when they started research and who have got their PhDs by now. I...