Traditional image change detection based on a non-subsampled contourlet transform always ignores the neighborhood information's relationship to the non-subsampled contourlet coefficients, and the detection results are susceptible to noise interference. To address these disadvantages, we propose a denoising method based on the non-subsampled contourlet transform domain that uses the Hidden Marko...

The majority of the optical observations collected via spaceborne satellites are corrupted by clouds or haze, restraining further applications Earth observation; thus, exploring an ideal method for cloud removal is great concern. In this paper, we propose a novel probabilistic generative model named sequential-based diffusion models (SeqDMs) cloud-removal task in remote sensing domain. proposed...

Background: Nowadays, image de-noising plays a very important role in medical analysis applications and pre-processing step. Many filters were designed for image processing, assuming a specific noise distribution, so the images which are acquired by different medical imaging modalities must be out of the noise. Objectives: This study has focused on the sequence filters which are selected ...

We have developed an end-to-end system for 3D scene sensing which combines a conventional high-resolution RGB camera with a low-resolution Time-of-Flight (ToF) range sensor. The system comprises modules for range data denoising, data re-projection and non-uniform to uniform up-sampling and aims at composing high-resolution 3D video output for driving auto-stereoscopic 3D displays in real-time. ...

This paper identifies a broad class of nonlinear dimensionality reduced (NLDR) problems where the exact local isometry between an extrinsically curved data manifold M and a low-dimensional parameterization space can be recovered from a finite set of high-dimensional point sampels. The method, Geodesic Nullsapce Analysis (GNA), rests on two results: First, the exact isometric parameterization of...

BACKGROUND Computer-assisted surgical navigation aims to provide surgeons with anatomical target localization and critical structure observation, where medical image processing methods such as segmentation, registration and visualization play a critical role. Percutaneous renal intervention plays an important role in several minimally-invasive surgeries of kidney, such as Percutaneous Nephrolit...

The vast majority of steganographic schemes for digital images stored in the raster format limit the amplitude of embedding changes to the smallest possible value. In this paper, we investigate the possibility to further improve the empirical security by allowing the embedding changes in highly textured areas to have a larger amplitude and thus embedding there a larger payload. Our approach is ...