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The Image quality of a mobile display in outdoor environment is evaluated in quantitative methodology. Contrast and colorfulness were chosen as the main quality factors among several quality attributes such as sharpness, lightness, noise and naturalness, and expressed in Just Noticeable Difference unit to correlate the image quality metric with human visual system. The overall image quality metric...
The performance of the noise reduction algorithm is evaluated by the quality metric using relation between pre-NR and post-NR images. The quality metric in the JND unit reflects the reduction of the block noise visibility and the preservation of the edge sharpness of the contents.
Nowadays improvements in digital display technologies, it needs to provide user with customized image quality them satisfying in the concatenation of diverse transmission media and a changing viewer environment. To product good image quality for screen display of electronic devices such as TV, monitor, mobile phone, etc., it is important to consider users' emotion. This paper is to investigate emotional...
In this paper, we propose an adaptive de-interlacing algorithm that is based on the degree of local complexity. Conventional intra-field de-interlacing methods which achieve good performance in terms of image quality have also higher computational burden; in addition, they show the different performance according to the ways of finding the edge direction. To develop a low-complexity de-interlacing...
The adaptive weighting based on the intensity variations of the neighbor pixels and the distance between the neighbor pixels and a pixel to be interpolated is proposed for the edge-based deinterlacing method. The local edge direction is first determined by the modified edge-based line averaging (MELA) method. Then, according to the local edge direction, the inverse distance and intensity variation...
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