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Combing the trait that the building outline can be reflected in high resolution DSM data, the extraction method of building top and the edge point of building top is studied based on region growing Algorithm, and then the edge point is tracked in vectorization. The regularization processing method toward the regular building and circular building is researched based on the classification of construction...
This paper presents a neighbourhood-based weighted super-resolution approach that estimates a high resolution video sequence from the low resolution video sequence. Firstly, In order to reduce artifacts in the super-resolved outcome due to the inaccurate estimation in the non-global motion fields, a neighbourhood-based weighted functional in terms of local mean residual is used to weight each low...
In this paper, we experimental investigate if the current reversible data hiding schemes are detectable. By modeling the distributions of horizontal pixel difference of natural image using generalized Gaussian model, we find that the horizontal difference histogram of watermarked image is significantly altered. Furthermore, the difference between the horizontal and the vertical difference histogram...
Regularization plays a vital role in ill-posed problems. A properly chosen regularization can direct the solution toward a better quality outcome. An emerging powerful regularization is one that leans on image examples. In this paper, we propose a novel scheme for face hallucination. We target specially the quality of highly zoomed outputs. Our work bases on the pyramid framework and assigns several...
Conventional image matching method is a correlation matching method of ergodic region, and much time should be wasted on non-optimal matching points. It is not only waste matching and calculation time but also lead to get non- matching points. Based on Multiresolution Pagoda Structure Algorithm (MPSA) and the genetic algorithm and projection algorithm, a new image matching method (GMPT) is presented...
Feature extraction is a key point of pattern recognition. Wavelet features are attractive for vehicle detection because they form a compact representation, encode edges, capture information from multi-resolution, and can be computed efficiently. This paper concerns the improvement of wavelet features. Currently, the wavelet features directly based on signed coefficients are easily affected by the...
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