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Image resolution enhancement algorithms, in spatial domain (viz., bicubic, data dependent triangulation and edge directed interpolation) and transform domain (viz., wavelet and DCT) were implemented and their performances were compared. It was concluded that discrete cosine transform (DCT) based image resolution enhancement algorithm performs bette...
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... S IMULINK MODEL The DCT based image Resolution enhancement algorithm is implemented in MATLAB-SIMULIMK to explore the capability of this algorithm for video resolution enhancement. The implementation of algorithm in Simulink is shown in Fig. 5 and 6. V. PERFORMANCE EVALUATION METRICS Performance of the above discussed interpolation algorithms are evaluated using the following ...
Citations
The goal of medical image resolution enhancement is to reconstruct a higher-resolution image from its lower-resolution counterpart. This paper proposes a Bayesian approach in the wavelet domain by exploiting a Bayesian inference framework to mathematically formulate the image interpolation problem. Furthermore, the proposed approach jointly estimates both the unknown wavelet coefficients of the high-resolution image and the unknown parameters of the statistical model for wavelet coefficients. Experiments are conducted to demonstrate the superior performance of the proposed approach.
The goal of medical image resolution enhancement is to reconstruct a higher-resolution image from its lower-resolution counterpart. This paper proposes a Bayesian approach in the wavelet domain by exploiting a Bayesian inference framework to mathematically formulate the image interpolation problem. Furthermore, the proposed approach jointly estimates both the unknown wavelet coefficients of the high-resolution image and the unknown parameters of the statistical model for wavelet coefficients. Experiments are conducted to demonstrate the superior performance of the proposed approach.
