在有Poisson-Gaussian噪音统计数据的情况下,在图形学中最大概率估计
Optics letters
|November 15, 2023
概括
计算成像与混合波桑-高斯噪声作斗争. 本研究引入了一种新的损失函数和方法,用于在低信号噪声比 (SNR) 条件下提高图像重建质量.
科学领域:
- 计算机成像成像技术
- 光学计量学是指光学计量学.
- 图像重建 图像重建
背景情况:
- 光学测量经常显示混合的波桑-高斯噪声,降低图像质量,特别是在低信号噪声比 (SNR) 时.
- 现有的计算成像技术通常只假定波伊索尼噪声,从而限制了它们在现实场景中的有效性.
研究的目的:
- 开发一种强大的图像重建方法,在光学测量中明确解决混合波桑-高斯噪声.
- 在具有挑战性的噪声条件下,以梯度为基础的图形图谱优化的性能提高.
主要方法:
- 定义了一个新的损失函数,以结合混合波桑-高斯噪声特征.
- 使用最大概率估计将摄像头读取噪声整合到基于梯度的图形图谱优化中.
- 拟议的方法使用实验和数值数据集进行了验证.
主要成果:
- 开发的方法显著优于图像重建中的传统方法.
- 在低SNR和混合噪音条件下实现了更好的图像质量.
- 简单的方法调整在改善重建准确度方面被证明是有效的.
结论:
- 提出的方法有效地考虑了光学测量中的混合噪声,从而实现了优异的图像重建.
- 这项工作提供了一种实际的解决方案,用于在现实的,杂的条件下改进计算成像.
- 这些发现可以在各种光学测量应用中提高图像质量.
更多相关视频
07:28Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
Published on: January 21, 2017
7.0K
05:54Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy
Published on: September 8, 2023
1.2K
相关概念视频
Poisson Probability Distribution
8.2K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
The...
8.2K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
74
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
74
Estimating Population Mean with Unknown Standard Deviation
7.8K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
William S. Gosset (1876–1937) of the...
7.8K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
527
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
527
Distributions to Estimate Population Parameter
4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K
Poisson's Ratio
444
Poisson's ratio is a material property that indicates their stress response. It explains the connection between the elongation or compression a material undergoes in the direction of an applied force and the contraction or expansion it experiences perpendicular to that force. When a slender bar is loaded axially, it stretches in the direction of the force and contracts laterally. Poisson's ratio is the negative ratio of this lateral contraction to the axial elongation. The negative sign...
444
