Abstract

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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.

In this paper, an extended intellgient edge-based line average -EIELA is proposed. The EIELA could be used in intra-field deinterlacing to remove the jagged edges and the blurring effect of the bilinear interpolation or the traditional algorithms. The EIELA could change its performance dynamically according to the user's requirement. The proposed method can achieve the highest image quality of the traditional ELA if all the taps in the module are enabled, and it also possesses the ability to reduce the taps usage and instruction counts through the turn-off of some calculating submodules. The results and VLSI implementation show the proposed method achieve high image quality and low hardware complexity.