The paper presents degraded Video contrast enhancement. These videosare taken by camera phones because of the improper illumination or limitation of the capturing devices. The existing enhancement approach may either flop to produce good and distortionless Videos. They do not enhance every area of interest properly, especially in face regions. The paper propose histogram equalization method (HE) manipulating thenoticeable in difference model of the visual system represented as in JND-HE. This will be performed for generic frame that is contrast enhancement. In addition, the said method, JND-HE method is clubbed with the exposer corrective method represented by JND-HE-EC for video enhancement of face region. The EC method is to adjust the illumination of the video frame in the face region and obtain suitable illumination in the background. The demonstration result shows that generic videos and faces shallproduce pleasant videos other than existing techniques.
CITATION STYLE
Bhagya, H. K., & Keshaveni, N. (2019). Video enhancement using histogram equalization with JND model. International Journal of Recent Technology and Engineering, 8(2), 2506–2511. https://doi.org/10.35940/ijrte.A2197.078219
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