http://search.ieice.org/bin/summary....7&lang=E&abst=
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E90-A No.11 pp.2575-2583
Publication Date: 2007/11/01
Online ISSN: 1745-1337
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Image
Summary:
Scene changes occur frequently in film broadcasting, and tend to destabilize the performance with blurred, jagged, and artifacts effects when de-interlacing methods are utilized. This paper presents an efficient VLSI architecture of video de-interlacing with considering scene change to improve the quality of video results. This de-interlacing architecture contains three main parts.
The first is scene change detection, which is designed based on examining the absolute pixel difference value of two adjacent even or odd fields. The second is background index mechanism for classifying motion and non-motion pixels of input field. The third component, spatial-temporal edge-based median filter, is used to deal with the interpolation for those motion pixels. Comparing with the existed de-interlacing approaches, our architecture design can significantly ameliorate the PSNRs of the video sequences with various scene changes; for other situations, it also maintains better performances. The proposed architecture has been implemented as a VLSI chip based on UMC 0.18-µm CMOS technology process. The total gate count is 30114 and its layout area is about 710

710-µm. The power consumption is 39.78 mW at working frequency 128.2 MHz, which is able to process de-interlacing for HDTV in real-time.
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http://ieeexplore.ieee.org/Xplore/lo...number=1597157
High performance de-interlacing algorithm for digital television displays
Gwo-Long Li; Mei-Juan Chen
Display Technology, Journal of
Volume 2, Issue 1, March 2006 Page(s): 85 - 90
Digital Object Identifier 10.1109/JDT.2005.864157
Summary: In this paper, a high performance de-interlacing algorithm is proposed to reduce the artifact effects produced by interlaced scanning TV systems. In the proposed algorithm, a moving-stationary detector is presented to determine where the missing pixels belong to moving or stationary region. If the missing pixel belongs to the stationary region, the temporal-wise interpolation is adopted; otherwise, the spatial-temporal-wise interpolation is applied. In addition, the proposed algorithm has simple operations chiefly involves addition and subtraction. This simple computation conducts the proposed algorithm to real-time applications efficiently. Experimental results show that the proposed algorithm can improve the subjective and objective qualities compared with other de-interlacing algorithms.
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