Image interpolation using collaborative filtering

Abstract

An iterative method based on the block matching collaborative filtering is proposed for image interpolation. Unlike the conventional interpolation methods, the proposed method first utilizes the wavelet-based linear interpolation method to generate an initial estimate of the original image. Then the observation constraint provided by the given low-resolution image is enforced on the estimate to produce a combined estimate of the high-resolution image. In order to reduce the distortion of the combined estimate, the block matching collaborative filtering is exploited. Repeating the observation constraint and filtering process until the resulting image satisfying the stop criterion. Experimental results show that the proposed method obtains better performance than some existing interpolation methods.