Adaptive Interpolation Algorithm for Real-time Image Resizing
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2
Image resolution conversion by optimized adaptation of interpolation kernels
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Image reconstruction by convolution with symmetrical piecewise nth-order polynomial kernels
IEEE Transactions on Image Processing
Real-time software restoration of optic image degraded by the atmosphere
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
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In this paper, we propose an image reconstruction method utilizing an optimized adaptive interpolation kernel along with a 2D M-channel perfect reconstruction filter bank (M-ch PR-FB) structure. In particular, the proposed approach leads to sharper reconstructed images than a direct conversion, still preserving high frequency components of the original image by employing the subband processing of a 2D M-ch PR-FB. Finally, the image quality improved by the proposed approach is demonstrated by comparing with those of the direct conversion methods using the bicubic and adaptive 2nd Newton interpolation kernels.