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Video enhancement approach aiming to achieve high qualities in entire video. Proposes a Superimposing algorithm for improve quality of intraframe based on multiple regions-of-interest and create piecewise tone mapping curve for entire frame, interframe constraints to improve the temporal quality consistency and based on result extract histogram. Two step are used for object quality retrieval (i) ACB step improve intraframe analysis features for region-of-interest ,a global tone curve is created by fusing from other region and (ii) ECB step improve interframe quality implement by histogram equalization method. Learning-based color tone mapping method to conduct global color transfer by turning the color statistic of the face region according to a per-trained set. These methods can improve the quality of some specific regions.

Increasing Quality of the Interframe and also extract Histogram using Super-Imposing