This paper proposes a new method for making automatic improvements in digital video image quality. With this method, the quality of digital video sequences captured by TV, DVD, and digital video (DV) cameras can be automatically improved on a monitor without any prior knowledge. The method is developed by applying adaptive quality improvement techniques for still images - entire image correction and selective color correction. Entire image correction improves the feature values of three important factors for color image quality - contrast, white balance and saturation - defined based on human visual perception. Selective color correction ensures preferred color reproduction for three significant categories: facial skin color, green foliage and blue sky. Through the use of scene cut detection and smoothing parameter transitions, this method can smoothly and adaptively adjust the enhancement parameters for image quality. With this technique, each scene in a video sequence can be optimally improved.
Tetsuaki Suzuki, Akira Inoue, Masato Tsukada, Johji Tajima, "Adaptive Image Quality Improvement Method for Moving Pictures Using Smoothing Parameter Transition and Scene Cut Detection" in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision, 2002, pp 298 - 303, https://doi.org/10.2352/CGIV.2002.1.1.art00064