Novel initialization scheme for Fuzzy C-Means algorithm on color image segmentation
Applied Soft Computing
Color image segmentation using adaptive unsupervised clustering approach
Applied Soft Computing
Iterative second-order derivative-based deinterlacing algorithm
Image Communication
A local adaptive weighted interpolation for deinterlacing
Digital Signal Processing
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This paper presents an intra field de-interlacing algorithm for spatial edge preserving using the detection of accurate edge direction. Conventional intra field de-interlacing algorithms determine the edge direction at the pixel or half pixel level, so that they can be highly sensitive to noise and lead to image degradation. In this paper, the proposed algorithm first considers the edge tendency in the edge region, and then candidate direction vectors (CDVs) are selected using the modified Sobel operation through the edge tendency. Finally, the CDVs are adaptively applied to interpolate the lost pixel in the edge region. Experimental results show that the proposed algorithm performs well with a variety of still and moving images compared with conventional intra field algorithms in the literature.