Related Experiment Video
Updated: Feb 6, 2026
07:42
Live Cell Imaging during Mechanical Stretch
Published on: August 19, 2015
11.0K
Polarimetric image recovery method combining histogram stretching for underwater imaging
Xiaobo Li1,2,3,4, Haofeng Hu5,6,7,8, Lin Zhao1,2,3,4
1School of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China.
Scientific Reports
|August 22, 2018
Summary
This study introduces an enhanced method for underwater image recovery, combining histogram stretching and polarimetric techniques. The improved approach effectively enhances image quality, even in dense, turbid waters.
Area of Science:
- Optics
- Image Processing
- Remote Sensing
Background:
- Underwater imaging is challenged by scattering media, leading to backscattered light and signal attenuation.
- Image degradation is particularly severe in dense turbid environments.
Purpose of the Study:
- To propose an improved method for underwater image recovery.
- To enhance the quality of underwater images degraded by scattering media.
Main Methods:
- Combines histogram stretching with polarimetric recovery.
- Stretches histograms of orthogonal polarization images while preserving their relationship.
- Applies traditional polarimetric recovery to processed orthogonal polarization images.
Main Results:
- The proposed method effectively enhances underwater image quality.
- Experimental results show superior performance compared to traditional polarimetric recovery.
- The method is particularly effective in dense turbid media conditions.
Conclusions:
- The combined histogram stretching and polarimetric recovery method significantly improves underwater image quality.
- This technique offers a robust solution for image restoration in challenging underwater environments.
Related Concept Videos
01:17Probability Histograms
13.3K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
13.3K
01:05Histogram
17.9K
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
17.9K
01:14Relative Frequency Histogram
6.5K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
6.5K
01:19Imaging Studies VII: Vascular Imaging
373
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
373
01:24IR Frequency Region: X–H Stretching
1.5K
In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of 2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
1.5K
01:24X-ray Imaging
10.5K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
10.5K