A Novel Technique with Lo Gradient Minimization for Rain-Free Images.

Detection and removal of rain in the image are a complicated and critical problem due to difficulty of rain and its negative effects on the image. The paper proposes a novel, efficient and simple algorithm for detection and removal of rain from the image using Lo gradient minimization that can commonly eliminate rain pixels from the image. The algorithm is easy to use and successful in spotting and removing rain of sequential images. This method does not depend on local features but as an alternative locates necessary edges globally. This relevant edge information will wait until all other information is extracted in this manner and then rain pixels are removed. Next, to improve contrast in images, intensity enhancing is done using histogram adjustment technique. To compare this result with other techniques, quality index has been measured for the rain removal image. Experimental results showed that the proposed algorithm is extremely efficient as it removes rain successfully for even light and heavy rain in the image. [ABSTRACT FROM AUTHOR]