منابع مشابه
Noise Texture Deviation: A Measure for Quantifying Artifacts in Computed Tomography Images With Iterative Reconstructions.
OBJECTIVES The aims of this study were to introduce the measure noise texture deviation as quantitative parameter for evaluating iterative reconstruction (IR)-specific artifacts in computed tomography (CT) images and to test whether IR-specific artifacts, quantified through this measure, are reduced in advanced modeled IR (ADMIRE) as compared with sinogram-affirmed IR (SAFIRE) images of the liv...
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The values of pixels in an image may, for various reasons, be known only imprecisely. If so, the texture of that image may be used to help estimate the true pixel values. Texture is the interrelation of pixels in an image; where there is texture, the value of one pixel may give clues as to the values of other pixels. This chapter describes how to find the most likely pixel values of an image wh...
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This paper presents a novel approach to the problem of obtaining a low dimensional representation of texture (pixel intensity) variation present in a training set after alignment using a Generalised Procrustes analysis. We extend the conventional analysis of training textures in the Active Appearance Models segmentation framework. This is accomplished by augmenting the model with an estimate of...
متن کاملNoise and Texture Detection in Image Processing
The idea of decomposing a given image into the cartoon part and the texture-noise part has become classical and there are basic standard algorithms to do that such as RudinOsher-Fatemi [ROF92], and modifications (e.g. Meyer [Mey01]; Osher, Solé, Vese [OSV03] and others). We discuss the Osher-Solé-Vese Ḣ−1-model of image decomposition and propose several natural modifications by using alternativ...
متن کاملToward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization
The objective function of a matrix factorization model usually aims to minimize the average of a regression error contributed by each element. However, given the existence of stochastic noises, the implicit deviations of sample data from their true values are almost surely diverse, which makes each data point not equally suitable for fitting a model. In this case, simply averaging the cost amon...
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ژورنال
عنوان ژورنال: Investigative Radiology
سال: 2017
ISSN: 1536-0210,0020-9996
DOI: 10.1097/rli.0000000000000312