Motion adaptive de-interlacing by horizontal motion detection and enhanced ELA processing

Abstract

A motion adaptive de-interlacing algorithm and its hardware architecture are presented in this paper. It consists of the directional interpolation -ELA with median processing, and 4-field horizontal motion detection. The edges can be sharper while the ELA with median processing is adopted. Enhanced ELA with median processing can prevent the happening of the bursting pixels. Proposed 4-field horizontal motion detection discovers faster motion and makes more accurate motion detection. The proposed method achieves hardware considerations on low complexity, low memory usage, and high speed processing. The experimental results show that the image quality of the proposed algorithm is superior to previous systems, and the cost is also more efficient. It is very suitable to be integrated into any display device such as projection TV and Plasma display.

Algorithm and architecture design for wide range ELA deinterlacer

“…In order to illustrate the visual quality of our WRELA algorithm, we compare our algorithm to others edge-based de-interlacing algorithm. Fig.6 shows (a) AELA [13], (b) ELA [1], (c) Med ELA [5], (d) EIELA, (e) Enhanced ELA [14], and (f) proposed WRELA algorithm's visual quality of edges in part of the image sequence. Fig.6 (a) (b) (c) (e) have slightly serration, and the black border between color white and green in (d) seems not continuous.…”

“…[2] chose interpolation filter adaptively by analyzing the content. Edge-based Line Average (ELA) is another common non-linear technique searching the orientation with the highest correlation and interpolates the missing pixel along the detected direction [3]- [5], [13], [14]. Finally, a high quality deinerlacer used multi-resolution analysis to analyze the texture content [6].…”