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相关概念视频

Instrument Calibration01:12

Instrument Calibration

138
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
138
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.1K
Perceptual Constancy01:12

Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
270
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

160
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
160
Glassware Calibration01:11

Glassware Calibration

147
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
147
Differential Leveling01:12

Differential Leveling

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Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
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一个感知优化和自我校准的音调映射操作员.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 计算机摄影摄影的使用

    背景情况:

    • 高动态范围 (HDR) 摄影越来越受欢迎,需要高效的音色映射操作员 (TMO) 来进行动态范围压缩.
    • 现有的TMO在平衡视觉质量和计算速度方面面临挑战.
    • 人类视觉系统 (HVS) 原则为开发知觉优化的图像处理技术提供了洞察力.

    研究的目的:

    • 开发一种新的,自我校准和感知优化的基于两个阶段神经网络的TMO,用于HDR图像色调映射.
    • 通过与人类感知保持一致来提高色调映射图像的视觉质量.
    • 为了实现与快速本地TMO可比的高性能.

    主要方法:

    • 采用了两阶段的神经网络方法,灵感来自人类视觉系统生理学.
    • 第一阶段将HDR图像分解为正常化的拉普拉斯金字塔,并使用轻量级神经网络来估计LDR图像的拉普拉斯金字塔,通过感知度量优化.
    • 第二阶段生成一个伪多曝光图像堆,并使用融合网络将它们合并,最大限度地提高结构相似度指数的变量.

    主要成果:

    • 与现有的TMO相比,拟议的方法始终产生具有优越视觉质量的图像.
    • 在计算速度方面,开发的TMO是最快的本地TMO之一.
    • 实验结果验证了所使用的优化指标的感知相关性和有效性.

    结论:

    • 两个阶段的神经网络TMO在HDR图像色调映射方面取得了重大进展.
    • 自校准和感知优化的方法有效地提高了图像细节和颜色和度.
    • 这种方法为实时HDR图像处理应用提供了有前途的解决方案.