Ece497pm Project Report a Hierarchical Statistical Model for Image Estimation
نویسنده
چکیده
A Hierarchical Statistical Model for Image Estimation Juan Liu December 16, 1998 Abstract In literature, we have seen many statistical models for images. We pay special attention to models for wavelet{domain image representations. Besides making iid assumptions about wavelet coe cients, there exist more sophisticate models exploring dependencies among wavelet coe cients. In this report, we propose a new hierarchical statistical model which systematically combines interscale and intrascale dependencies. The proposed model is implemented into practical application such as denoising. Denoising performance is presented and analyzed. We also give explanation for its possible limitation.
منابع مشابه
Bridging the semantic gap for software effort estimation by hierarchical feature selection techniques
Software project management is one of the significant activates in the software development process. Software Development Effort Estimation (SDEE) is a challenging task in the software project management. SDEE is an old activity in computer industry from 1940s and has been reviewed several times. A SDEE model is appropriate if it provides the accuracy and confidence simultaneously before softwa...
متن کاملOptical Flow Video Image Mosaic
Many problems require finding the coordinate transformation between two images of the same scene or object. Whether to recover camera motion between video frames, to stabilize video images, to relate or recognize photographs taken from two different cameras, to compute depth within a three-dimensional (3-D) scene, or for image registration and resolution enhancement, it is important to have a p...
متن کاملStatistical Wavelet-based Image Denoising using Scale Mixture of Normal Distributions with Adaptive Parameter Estimation
Removing noise from images is a challenging problem in digital image processing. This paper presents an image denoising method based on a maximum a posteriori (MAP) density function estimator, which is implemented in the wavelet domain because of its energy compaction property. The performance of the MAP estimator depends on the proposed model for noise-free wavelet coefficients. Thus in the wa...
متن کاملAn Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising
MRI is one of the most powerful techniques to study the internal structure of the body. MRI image quality is affected by various noises. Noises in MRI are usually thermal and mainly due to the motion of charged particles in the coil. Noise in MRI images also cause a limitation in the study of visual images as well as computer analysis of the images. In this paper, first, it is proved that proba...
متن کاملOcclusion robust pose and model estimation using Gaussian Process Latent Variable Model on GPU
In this project, we would like to develop multi-object pose and model estimation which uses the 3D voxelized model and foreground background segmentation to detect 3D pose and model variation. In the relevant literature, [4], the authors used gradient descent to minimize the optimization energy function which is the integration over image multiplied by the smoothed step function of SDF of 3D mo...
متن کامل