Image resolution enhancement is one of the first steps in image processing. Enhancement of image with respect to spatial coordinates of the image, basically improves interpretability and perception of an image. Adaptive interpolation along with dual tree complex wavelet transform results in better quality superresoved images. Greater directional selectivity and phase information properties of redundant CWT implies superresolved image from original low resolution image. While improving the resolution of an image high frequency components are required to preserve other than enlarging the image. In this paper, dual tree complex wavelet transform (DTCWT) based superresolved imaging system along with non iterative orientation interpolation process is proposed. Image quality measuring factors such as PSNR value, RSNI approximation proves that efficiency of images obtained by proposed method is better than state of the art system of resolution enhancement.
General TermsImage resolution enhancement, Interpolation.
Now a day the increase in the quality of images is becoming need of the multimedia applications. The quality of the image can be improved by increasing timage captured by any presentimage acquisition device. The increase in the optical resolution is having problem of shot noise due to smaller size of the sensors. Super Resolution (SR) deals with combining low resolution images of same scene with additional information in each to get higher resolution image. Due to this, we need not have a high resolution device for acquisition of an image. We present an overview of existing SR methods and address the motion estimation and optical blur methods of super resolution to achieve high quality imaging with different optical zoom of low resolution camera. The quality of images is significantly improved and high resolution imaging is achieved. These techniques are highly computational; but provide very good visual quality of images.
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