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The digital image watermarking technology is widely used to protect intellectual property and to authenticate digital contents in the network environment. The aim of the paper is to invoke the improved Laplacian Pyramid transform to develop a new image watermarking scheme. Specifically, the host image is decomposed and reconstructed by using the improved Laplacian Pyramid transform. Then, the mid...
In 3D reconstruction applications frequently large mesh sections are missing. While the geometry can be created with mesh completion techniques, reconstructing the texture is more difficult. An exemplar-based synthesis usually requires that the missing region contains only one texture pattern. Image inpainting techniques work for more complex textures, but were designed primarily to fill narrow missing...
This paper addresses the denoising problem associated with magnetic resonance spectroscopic imaging (MRSI), where low signal-to-noise ratio (SNR) has been a critical problem. A new scheme is proposed, which exploits two low-rank structures that exist in MRSI data, one due to partial separability and the other is due to linear predictability. Experimental results from practical data demonstrate that...
Low signal-to-noise ratio has been a significant limitation for clinical applications of magnetic resonance spectroscopic imaging (MRSI). This paper investigates a new scheme for denoising MRSI data, incorporating both an anatomically-adapted spatial-smoothness constraint and an autoregressive spectral constraint within the penalized maximum-likelihood framework. Both theoretical analysis and simulation...
A design of an on-line Java applet that allows the user to upload images being close to a stereo pair and reconstruct a depth map of a depicted 3D scene is described. It is accessible to a wide range of users and can serve as a tool that allows the Internet users to learn and explore the research domain of computational stereo vision. The images are automatically rectified into an epipolar stereo...
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