ABSTRACT
In this paper, we propose an efficient edge dependent deinterlacing algorithm with edge directional refinement using the weighted maximum frequent filter. Conventional edge dependent algorithms achieve better visual performance than any other Intra-field deinterlacing algorithms. However, they are very sensitive to noise and may produce poor results due to their failure to estimate the edge direction. In order to improve the reliability and consistency of detected edge direction, our method first detects the edge direction of a pixel to be interpolated and refines the edge direction using the weighted maximum frequent filter. The simulation results have shown the efficacy of the proposed method with significant improvement over the previous methods in terms of the objective PSNR quality as well as subjective image quality.
- G. D. Hann and E. B. Bellers, "Deinterlacing - an Overview," Proc. IEEE, Vol. 86, No. 9, pp. 1839--1857, Sep. 1998Google ScholarCross Ref
- T. Doyle, "Interlaced to sequential conversion for EDTV applications," Proceedings 2nd Int. Workshop Signal Processing HDTV, pp. 412--430, February 1988.Google Scholar
- T. Chen, H. R. Wu and Z. Yu, "Efficient edge line average interpolation algorithm for de-interlacing," Proceedings of SPIE, Visual Communications and Image Processing 2000, vol. 4067, pp. 1551--1558, Perth, Australia, Jun. 2000.Google ScholarCross Ref
- Phu, M. Q.; Tischer, P. E.; Wu, H.R, "A median based interpolation algorithm for deinterlacing," ISPACS 2004. Proceedings of 2004 International Symposium on, pp. 390--397, Nov. 2004.Google Scholar
- Hoon Yoo and Jechang Jeong, "Direction-oriented interpolation and its application to deinterlacing," IEEE Trans. Consumer Electronics, vol. 48, Issue 4, pp. 954--962, Nov. 2003. Google ScholarDigital Library
- H. S. Oh, Y. Kim, Y. Y. Jung, A. W. Morales, and S. J. Ko, "Spatio-temporal edge based median filtering for deinterlacing," in Digest of the Int. Conference on Consumer Electronics, pp. 52--53, June 2000.Google Scholar
- Y. L. Chang, S. F. Lin, Chen, and L. G. Chen. "Video De-Interlacing by Adaptive 4-Field Global/Local Motion Compensated Approach", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, No. 12, pages 1569--1582, December 2005 Google ScholarDigital Library
- Dongil Han, Chang-Yong Shin, Seung-Jong Choi and Jong-Seok Park, "A Motion Adaptive 3-D De-interlacing algorithm based on the brightness profile pattern difference," IEEE Trans. Consumer Electronics, Vol. 45, No. 3, pp. 690--697, August 1999. Google ScholarDigital Library
Index Terms
- Deinterlacing method based on edge direction refinement using weighted maximum frequent filter
Recommendations
A Spatial Deinterlacing Algorithm Based on Edge Orientation Optimized in Local Area
CISP '08: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04In this paper, a novel de-interlacing algorithm in spatial domain is proposed based on an edge orientation optimizing strategy. Taking advantage of the resolution invariant character of edge orientation, we calculate the edge orientation in interlaced ...
A switching weighted vector median filter based on edge detection
An impulse noise removal method based on noise detection and image edge detection is proposed to improve the performance of vector median filter. Corrupted pixels are first discriminated from the noise-free pixels by comparing the current pixel with the ...
Fine directional de-interlacing algorithm using modified Sobel edge detection
CSS '07: Proceedings of the Fifth IASTED International Conference on Circuits, Signals and SystemsIn this paper we propose a fine directional de-interlacing algorithm, based on detection of an accurate edge direction using modified Sobel operation. Existing de-interlacing algorithms determine the presence of edge in pixel resolution or half pixel ...
Comments