scholarly journals Research on Auto-Exposure Algorithm Based on Image Big Data and Information Entropy

2020 ◽  
Vol 3 (2) ◽  
pp. 6
Author(s):  
Yunfei Bai

An Auto-Exposure (AE) algorithm based on image big data and information entropy is proposed. On the basis of the traditional algorithm for automatic exposure adjustment based on image brightness, image big data analysis is introduced for the first time. Through the combination of ambient luminance evaluation and image information entropy, the dimension of information acquisition of the automatic exposure system is improved, thus improving the image effect and scene adaptability of the camera. Especially in high dynamic range scenes, compared with the traditional algorithm, the effect is significantly improved. 

Author(s):  
Junsong Luo ◽  
Shi Qiu ◽  
Yizhang Jiang ◽  
Keyang Cheng ◽  
Huping Ye ◽  
...  

High dynamic range image (HDRI) which is combined with low dynamic range image (LDRI) needs to be mapped to a low dynamic area to display. In the process of mapping, it is impossible to determine the contribution of low dynamic image sequences in the display images, so that it results in a problem that the low dynamic images cannot be accurately selected. In this paper, for the first time, a contribution algorithm from LDRI to HDRI according to the corresponding response curve of the camera is proposed.


2020 ◽  
Vol 2020 (7) ◽  
pp. 226-1-226-7
Author(s):  
Nabeel. A. Riza ◽  
Mohsin. A. Mazhar

Experimentally demonstrated for the first time is Coded Access Optical Sensor (CAOS) camera empowered robust and true white light High Dynamic Range (HDR) scene low contrast target image recovery over the full linear dynamic range. The 90 dB linear HDR scene uses a 16 element custom designed test target with low contrast 6 dB step scaled irradiances. Such camera performance is highly sought after in catastrophic failure avoidance mission critical HDR scenarios with embedded low contrast targets.


BIOspektrum ◽  
2021 ◽  
Vol 27 (7) ◽  
pp. 719-722
Author(s):  
Sebastian Kallabis ◽  
Marcus Krüger

AbstractSkeletal muscle tissue is composed of different fiber types which differ in their metabolic activity and molecular expression patterns. Mass spectrometric analyses revealed muscle fiber-specific traits but the number of detected proteins is limited due to low protein abundance and high dynamic range. We have developed a new LC-MS/MS method to circumvent the bottleneck of low protein abundance and we have applied this method to measure fiber type-specific phosphoproteomes for the first time.


Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1015
Author(s):  
Simon Suh ◽  
Seok Min Hong ◽  
Young-Jin Kim ◽  
Jong Sung Park

In recent years, people have wanted to watch high dynamic range imagery which can give high human visual satisfaction on smartphones and demand longer smartphone battery time. However, compression of dynamic range using tone-mapping operators is required in smartphones because most smartphone displays currently have a low dynamic range, and this causes loss of local contrast and details to compress dynamic range. Thus, in this paper we propose a novel dynamic voltage scaling scheme tightly coupled with a modified tone-mapping operator to achieve high power saving as well as good human perceptuality on an AMOLED display smartphone. In order to perform a human perceptuality-aware voltage control, we control display panel voltage to save power consumption and use a well-adjusted global tone-mapping operator to convert image brightness and unsharp masking to enhance local contrast and details and control. We implement the proposed scheme on the AMOLED display Android smartphone and experiment with various high dynamic range image databases. Experimental results show that not only tone-mapped images but also general images are improved in terms of human visual satisfaction and power saving, compared to conventional techniques.


1986 ◽  
Vol 133 (1) ◽  
pp. 26
Author(s):  
J. Mellis ◽  
G.R. Adams ◽  
K.D. Ward

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