A Combination Technique of Multi-wavelets and Interpolation for Resolution Enhancement of Digital Images

This paper explains the effect of various multi-wavelet interpolation methods on digital images to enhance the resolution of the images. A high resolution image is a major challenge for any image processing application, especially in defense and medical scenario. Here resolution enhancement technique is done in wavelet domain using multi-wavelets and interpolation methods. Visual perception of an image has to be improved by various enhancement techniques since the hardware image acquisition methods drops to a limit. Some spectral and spatial problems such as motion blur, pixilation and poor perception may still prevail in digital images which requires rectification before processing further. The Super Resolution images are generated by applying enhancement techniques on a set of noisy and blurred low resolution images . In this paper, some of the resolution enhancement techniques such as Discrete Wavelet Transform, Stationery Wavelet Transform and a combination of DWT and SWT with various interpolation techniques are experimented. The DWT-SWT with Bilinear interpolation method illustrates the improvement in the resolution factor of the image, thereby improving the visual perception of images Keywords— Discrete Wavelet Transform, Stationary Wavelet Transform, Inverse Discrete Wavelet Transforms, High Resolution, Low Resolution, Interpolation techniques .