Estimation of minimum color channel using difference channel in single image Dehazing

Enhanced Single Image Dehazing Technique based on HSV Color Space

“…This technique effectively removes halo artifacts while restoring clear images. In 2021, Raikwar and Tapaswi developed a method that utilized a difference channel (DCH) for estimate of the initial transmission map to nonlinearly translate the minimum channel of a hazy image into a minimum channel of a haze-free image [28]. This method employs a quad-tree subdivision-based method for the airlight estimation.…”

“…The obtained results are compared to the results of four other existing techniques such as [12], [23], [26], and [28], Table 1.…”

“…They either present their contribution by making improvements to DCP or by defining new techniques for making DCP work better. In addition, the reasons behind selecting the references [23], [28], and [26] are because these works are recently published, their contribution is significant, and they were published in the well-known and high-quality journals.…”

“…6, one can notice that the resulted images of the proposed approach clearer and the haze removed properly compared to other tested techniques. In addition, it can be noticed that results of [12] and [28] are still hazy and the haze not removed completely, while results of [23] and [26] are over dehazed.…”

“…7, it is quite obvious that in the resulted images of the proposed approach, the haze is completely removed and the colors of the scenes are rendered naturally. In contrast, the resulted images of [23] are mostly over dehazed and for the techniques [26], [28], and [12] the haze is not removed completely.…”