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| Using Improved Weighted Parabolic Interpolation and Contourlet Transformation to Zoom Images for Super-resolution |
| CAI Nian, ZHANG Hai-Yuan, ZHANG Nan |
| (School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China) |
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Abstract In order to preserve the basic information of images and to improve their visual effect and space resolution, a novel image zooming algorithm was proposed by using improved weighted parabolic interpolation and Contourlet transformation. The proposed algorithm incorporates the erroramended part into the weighted parabolic interpolation algorithm. Directions of the interpolation points are determined by the Sobel operator, then we get a preliminary zoomed image. Highfrequency components are got by a Contourlet transformation, and lowfrequency components are replaced by the enhanced amplitude of the original image. A highresolution image is achieved by inverse Contourlet transformation. The experimental results indicate that, compared with traditional image zooming algorithms, this algorithm can get clearer and sharper edges due to considerations of global pixels correlation of the original image.
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Received: 08 October 2010
Published: 31 October 2011
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