Enhanced Single Image Dehazing Technique based on HSV Color Space

The clarity of images degrades significantly due to the impact weather conditions such as fog and haze. Persistent particles scatter light, attenuating reflected light from scene, dispersed atmospheric will mix with received by camera affecting image contrast in both outdoor indoor images. Conventionally, scattering model (ATSM) is a often used recover hazy In ATSM, two unknown factors/parameters must be estimated: Airlight scene transmission. accuracy these estimations has significant influence on dehazed quality. This paper focuses first parameter. It introduces new technique for estimating airlight based HSV color space. space utilized identify haziest opaque area image. Consequently, amount selected calculated. To assess effectiveness suggested approach, well-known dataset, RESIDE SOTS, been that contains parts; namely, SOTS-indoor SOTS-outdoor. Each dataset includes 500 Experimental findings show approach outperforms existing techniques terms peak signal-to-noise-ratio structural similarity index`.