Advanced Motion Estimation and Motion Compensated Deinterlacing

Bellers, Erwin B.; Haan, G. de

doi:10.5594/j17643

Cited by 15 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous methods have been proposed for deinterlacing. [1][2][3][4][5][6][7][8][9][10] These methods can roughly be divided into four categories: purely spatial interpolation methods, nonlinear filtering operations such as median filtering, 4 motion adaptive techniques, 1,6 and motion compensation methods. 2 Spatial interpolation methods are also known as intrafield deinterlacing methods, since deinterlacing is performed using only the pixel values of the current frame.…”

Section: Introductionmentioning

confidence: 99%

Deinterlacing with selective motion compensation

et al. 2006

View full text Add to dashboard Cite

We propose a new deinterlacing algorithm with selective motion compensation. It has been reported that deinterlacing methods using motion compensation produce significantly improved results, although they tend to yield undesired results in fast moving areas. This is due to weak correlations between the previous and current frames. The proposed algorithm solves this problem by selectively applying motioncompensated deinterlacing. We first apply intrafield interpolation in the spatial domain, and then selectively apply motion compensations according to the type of motion vectors. Experimental results show that the proposed method produces noticeably improved performance compared to existing motion-compensated deinterlacing methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Deinterlacing with selective motion compensation

et al. 2006

View full text Add to dashboard Cite

show abstract

TV Display Technology and Video Processing

Bellers

Haan

2015

Handbook of Digital Imaging

View full text Add to dashboard Cite

Video processing demands are strongly influenced by the display device. The revolution in television displays from the Cathode Ray Tubes (CRTs) to modern flat panel displays, like the Plasma Display Panel (PDP) and Liquid Crystal Display (LCD), has accelerated the innovation in video processing. The larger screen sizes and increased brightness, but also the increased diversity in content quality, along with the transition to High Definition television (HDTV) and beyond, has profoundly increased our picture quality expectations. New challenges had to be overcome with video processing, as the new display technologies have some very good, but often also some unfavorable properties. Therefore, new video processing algorithms were necessary to provide adequate solutions. It is fair to say that the display revolution along with the advances in video sources has made video processing an interesting field for many researchers during the last few decades. This chapter briefly reviews the characteristics of the Human Visual System that impact the system design, followed by a review of a number of modern display technologies. Some of the characteristics that negatively affect our perception will be discussed. It will appear that none of the modern displays is ideal for rendering video, and video processing technologies which alleviate the impact from these flaws will be presented.

show abstract