EVALUATION OF IMAGE DEHAZING BY PSO BASED DARK CHANNEL PRIOR
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Abstract
The following paper signifies that image defogging make use of many outdoor operating systems. Digital images captured in outdoor environment are easily polluted by haze, which will de-grade the conveyed information. Haze detection as well as elimination is actually a challenging job for enhancing the quality of digital images. In general, these pictures are clicked at a long distance from the visual sensor to given scene. The algorithm used here will modify the dark channel prior using existing techniques which have neglected the use of optimized selection of restoration level, so particle swarm optimization will be utilized to monitor and locate the best optimized value for restoration. Adaptive brightness preserving histogram equalization will also be used to remove the uneven illuminate problem of the Haze removal. Thus the proposed technique has the ability to remove the limitations of existing techniques.
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