Investigation of the Hue–Wavelength Response of a CMOS RGB-Based Image Sensor

Park, Hyeon-Woo; Choi, Jiwon; Choi, Jiyoung; Joo, K. K.; Kim, Nari

doi:10.3390/s22239497

Cited by 10 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, when light exceeds a certain intensity, saturation occurs and dumping occurs at one value. In the camera used, the maximum charge value was 2 14 for each pixel. As the exposure time was increased, the brightness became greater, and the number of saturated pixels increased.…”

Section: Exposure Time (Or Camera Shutter Speed)mentioning

confidence: 99%

See 1 more Smart Citation

Image Reconstruction and Investigation of Factors Affecting the Hue and Wavelength Relation Using Different Interpolation Algorithms with Raw Data from a CMOS Sensor

Kim,

Joo,

Park

2023

Photonics

Self Cite

View full text Add to dashboard Cite

An image processing method was employed to obtain wavelength information using light irradiated during camera exposure. Physically, hue (H) and wavelength (W) are closely related. Once the H value is known through image pixel analysis, the wavelength can be obtained. In this paper, the H-W curve was investigated from 400 to 650 nm using raw image data with a complementary metal oxide semiconductor (CMOS) sensor technology. We reconstructed the H-W curve from raw image data based on a demosaicing method with 2 × 2 pixel images. To date, no study has reported on reconstructing the H-W curve using several different interpolation algorithms in the 400~650 nm wavelength region. In addition, several factors affecting the H-W curve with a raw digital image, such as exposure time, aperture, and international organization for standardization (ISO) settings, were investigated for the first time.

show abstract

Section: Exposure Time (Or Camera Shutter Speed)mentioning

confidence: 99%

“…In summary, there are several motivations for this paper. For the H-W relationship, there were our previous curve measured for the wavelength of 400~650 nm [14], and CMOS or Foveon technology over 500 nm [10,11]. Because of the intrinsic limitations of the CMOS sensor we were using, the camera was not sensitive in the UV regions.…”

Section: Introductionmentioning

confidence: 99%

Image Reconstruction and Investigation of Factors Affecting the Hue and Wavelength Relation Using Different Interpolation Algorithms with Raw Data from a CMOS Sensor

Kim,

Joo,

Park

2023

Photonics

Self Cite

View full text Add to dashboard Cite

show abstract

“…In general, H tended to decrease as the wavelength increased, but this was not linear for the entire wavelength. In particular, wavelength separation in the 400~440 nm region became difficult due to the small change in H. There are some factors that affected the result; these include the investigation being performed with a different camera aperture, exposure time, saturation, and international organization for standardization (ISO) number [22]. Among them, the amount of light entering the camera was one of the most important factors.…”

Section: H-w Relationship Using An Ledmentioning

confidence: 99%

Estimating Fluor Emission Spectra Using Digital Image Analysis Compared to Spectrophotometer Measurements

Park

Choi

Joo

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

This paper describes a practical method for obtaining the spectra of lights emitted by a fluor in a liquid scintillator (LS) using a digital camera. The emission wavelength results obtained using a digital image were compared with those obtained using a fluorescence spectrophotometer. For general users, conventional spectrophotometers are expensive and difficult to access. Moreover, their experimental measurement setup and processes are highly complicated, and they require considerable care in handling. To overcome these limitations, a feasibility study was performed to obtain the emission spectrum through image analysis. Specifically, the emission spectrum of a fluor dissolved in a liquid scintillator was obtained using digital image analysis. An image processing method was employed to convert the light irradiated during camera exposure into wavelengths. Hue (H) and wavelength (W) are closely related. Thus, we obtained an H-W response curve in the 400~450 nm wavelength region, using a light-emitting diode. Another relevant advantage of the method described in this study is its non-invasiveness in sealed LS samples. Our results showed that this method has the potential to accurately investigate the emission wavelengths of fluor within acceptable uncertainties. We envision the use of this method to perform experiments in chemistry and physics laboratories in the future.

show abstract

Color analysis and tracking of the reduction of an indigo solution in real‐time using LabVIEW and machine vision

Chiang,

Lin

2024

J Chinese Chemical Soc

View full text Add to dashboard Cite

A novel detection method, known as RGB‐tracking, was utilized to quantify the relative color changes in reactants/products during the dyeing of a solution of indigo as a model compound. The RGB‐tracking system consists of a digital camera, a light source, a data acquisition device, a LabVIEW program, and its built‐in function (Machine Vision). For the reduction of indigo, two types of reagents were employed: sodium dithionite (Na2S2O4) for the chemical redox process and yeast (Saccharomyces cerevisiae) for the biological fermentation process. As a result, in the case of chemical redox during the reduction of the indigo solution, the progress of the reaction can be described by a color change, that is, the curves of R‐ and G‐pixels, respectively. When the curve for the G‐pixels began to increase, this indicated that leuco‐indigo is being formed. A dramatic increase in the R‐curve indicates that the amount of leuco‐indigo has exceeded than that of indigo itself and that the reaction will gradually reach equilibrium. In contrast to this, additional complex behavior was observed in the case of biological fermentation. When the RGB‐tracking curves for the R‐ and G‐pixels reach their maximum values, this indicates that the concentration of leuco‐indigo was significantly higher than that of indigo itself. The flattening of the RGB‐tracking curves indicates that the reaction has reached equilibrium.

show abstract

Investigation of the Hue–Wavelength Response of a CMOS RGB-Based Image Sensor

Cited by 10 publications

References 22 publications

Image Reconstruction and Investigation of Factors Affecting the Hue and Wavelength Relation Using Different Interpolation Algorithms with Raw Data from a CMOS Sensor

Image Reconstruction and Investigation of Factors Affecting the Hue and Wavelength Relation Using Different Interpolation Algorithms with Raw Data from a CMOS Sensor

Estimating Fluor Emission Spectra Using Digital Image Analysis Compared to Spectrophotometer Measurements

Color analysis and tracking of the reduction of an indigo solution in real‐time using LabVIEW and machine vision

Contact Info

Product

Resources

About