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Pan-sharpening is an important remote sensing image pre-processing technique, which aims at obtaining a high-resolution multispectral (HRM) image by integrating the spectral information of a low-resolution multispectral (LRM) image and the spatial details of a high-resolution panchromatic (HRP) image. This paper proposes a new pan-sharpening method with sparse representation (SR) under the framework...
In this paper, we propose a novel single image super-resolution method based on MAP statistical reconstruction. Our approach takes the wavelet domain Implicit Markov Random Field (IMRF) model as the prior constraint. Specifically, we apply the IMRF model to show the probability distribution of natural images in wavelet domain, and utilize the MAP theory of Bayesian estimation to construct the objective...
This paper presents a new real-time algorithm for music recognition. According to music characteristics, we analyzed spectrum at the music pitches frequencies by using wavelet transform and DTFT, which increases not only the computing efficiency but also the resistance to noise. We advance a recognition strategy of note voting and music segmentation. New recognition rules for chords recognition are...
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