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Study on Digital Elevation Mode Data Watermark via Integer Wavelets
In this paper an efficient approach via wavelet for digital watermark in DEM(digital elevation mode) data is developed, which effectly protects the copyright of DEM data and avoids the
An Image Quality Measure Scheme in the Perceptual Field via Masking
This paper analyzed the characters of Human Visual System (HVS) at first, that included the visual nonlinear, multi-channel and masking effect as well, then constituted a kind of mathematic model to simulate the course that the human visual system proceeds the image information.
Neighbourhood weighted fuzzy c-means clustering algorithm for image segmentation
A novel similarity measure model is established based on image patches and local statistics, and the neighbourhood-weighted distance is defined to replace the Euclidean distance in the objective function of FCM.
Research on Teaching Reform of Advanced Numerical Analysis
The main idea is the optimazition of teaching content, teaching with the conjunct form of multimedia slide and writing on blackboard and assessing students by test method with a combination of numerical practice.
Lossless watermarking for digital elevation mode data
This algorithm can recover the original DEM data without any distortion from the marked data after the watermarking has been extracted, which owns good value in the economy and is feasible in dealing with the DEM data of floating-point precision.
The Image Denoising with Correlation Based on Redundant Contourlet Transform
This paper applies redundant contourlet transform with shift-invariant to image denosing, which can capture the intrinsic geometrical structure of image and considers the dependencies between the coefficients and their parents in detail.
Double sparse image representation via learning dictionaries in wavelet domain
The M-term approximation and compression of remote sensing images both proved the better effects of the proposed structured dictionary than the existing dictionaries.
Real transform algorithm for computing discrete circular deconvolution
This work develops a real transform algorithm for calculating the discrete circular deconvolution by substituting the fast Fourier transform defined in the complex domain and it is shown that the computational cost is about half of the traditional FFT.