An overview of flaws in emerging television displays and remedial video processing

New display principles aim at supreme image quality. The temporal aspects of these devices sometimes remain underexposed in the literature, and the paper presents an overview of new artifacts and possible remedies with signal processing. We discuss typical artifacts due to the unfavourable properties of emerging television displays. We introduce a processing model that eliminates or at least reduces the various artifacts that result from temporal imperfections of CRTs with alternative scanning, liquid crystal displays (LCDs), tiled displays, plasma display panels (PDPs), and colour sequential displays. We conclude that knowledge of the motion in the scene, i.e. motion estimation, is essential to at least partially repair the often unfavourable temporal behaviour of these displays. Such repair is realistic, as these displays have appeared on the market at the moment motion vector estimation has come to maturity for consumer applications

An overview of flaws in emerging television displays and remedial video processing

New display principles aim at supreme image quality. The temporal aspects of these devices sometimes remain underexposed in the literature, and the paper presents an overview of new artifacts and possible remedies with signal processing. We discuss typical artifacts due to the unfavourable properties of emerging television displays. We introduce a processing model that eliminates or at least reduces the various artifacts that result from temporal imperfections of CRTs with alternative scanning, liquid crystal displays (LCDs), tiled displays, plasma display panels (PDPs), and colour sequential displays. We conclude that knowledge of the motion in the scene, i.e. motion estimation, is essential to at least partially repair the often unfavourable temporal behaviour of these displays. Such repair is realistic, as these displays have appeared on the market at the moment motion vector estimation has come to maturity for consumer applications

Evaluation of the color image and video processing chain and visual quality management for consumer systems

With the advent of novel digital display technologies, color processing is increasingly becoming a key aspect in consumer video applications. Today’s state-of-the-art displays require sophisticated color and image reproduction techniques in order to achieve larger screen size, higher luminance and higher resolution than ever before. However, from color science perspective, there are clearly opportunities for improvement in the color reproduction capabilities of various emerging and conventional display technologies. This research seeks to identify potential areas for improvement in color processing in a video processing chain. As part of this research, various processes involved in a typical video processing chain in consumer video applications were reviewed. Several published color and contrast enhancement algorithms were evaluated, and a novel algorithm was developed to enhance color and contrast in images and videos in an effective and coordinated manner. Further, a psychophysical technique was developed and implemented for performing visual evaluation of color image and consumer video quality. Based on the performance analysis and visual experiments involving various algorithms, guidelines were proposed for the development of an effective color and contrast enhancement method for images and video applications. It is hoped that the knowledge gained from this research will help build a better understanding of color processing and color quality management methods in consumer video