scholarly journals Users’ experiences of enhancing underwater images: an empirical study

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Simon Emberton ◽  
Christopher Simons
Keyword(s):  
Empirical Study ◽  
Image Enhancement ◽  
User Experience ◽  
Online Questionnaire ◽  
Image Capture ◽  
Negative Experience ◽  
Low Contrast ◽  
Face To Face ◽  
Software Products ◽  
Underwater Photography

AbstractWithin the worldwide diving community, underwater photography is becoming increasingly popular. However, the marine environment presents certain challenges for image capture, with resulting imagery often suffering from colour distortions, low contrast and blurring. As a result, image enhancement software is used not only to enhance the imagery aesthetically, but also to address these degradations. Although feature-rich image enhancement software products are available, little is known about the user experience of underwater photographers when interacting with such tools. To address this gap, we conducted an online questionnaire to better understand what software tools are being used, and face-to-face interviews to investigate the characteristics of the image enhancement user experience for underwater photographers. We analysed the interview transcripts using the pragmatic and hedonic categories from the frameworks of Hassenzahl (Funology, Kluwer Academic Publishers, Dordrecht, pp 31–42, 2003; Funology 2, Springer, pp 301–313, 2018) for positive and negative user experience. Our results reveal a moderately negative experience overall for both pragmatic and hedonic categories. We draw some insights from the findings and make recommendations for improving the user experience for underwater photographers using image enhancement tools.

Exploring Coronal Structures with SOHO

2000 ◽  
Vol 179 ◽  
pp. 403-406
Author(s):  
M. Karovska ◽  
B. Wood ◽  
J. Chen ◽  
J. Cook ◽  
R. Howard
Keyword(s):  
Solar Corona ◽  
Image Enhancement ◽  
Coronal Mass Ejections ◽  
Dynamical Evolution ◽  
Small Scale ◽  
Low Contrast ◽  
Contrast Structures ◽  
Scale Structures ◽  
Small Scale Structures ◽  
Coronal Structures

AbstractWe applied advanced image enhancement techniques to explore in detail the characteristics of the small-scale structures and/or the low contrast structures in several Coronal Mass Ejections (CMEs) observed by SOHO. We highlight here the results from our studies of the morphology and dynamical evolution of CME structures in the solar corona using two instruments on board SOHO: LASCO and EIT.

scholarly journals Underwater Image Enhancement Based on Local Contrast Correction and Multi-Scale Fusion

2021 ◽  
Vol 9 (2) ◽  
pp. 225
Author(s):  
Farong Gao ◽  
Kai Wang ◽  
Zhangyi Yang ◽  
Yejian Wang ◽  
Qizhong Zhang
Keyword(s):  
Image Enhancement ◽  
Local Contrast ◽  
Fusion Method ◽  
Formation Model ◽  
Low Contrast ◽  
White Balance ◽  
Multi Scale ◽  
Color Distortion ◽  
Underwater Image ◽  
Enhancement Method

In this study, an underwater image enhancement method based on local contrast correction (LCC) and multi-scale fusion is proposed to resolve low contrast and color distortion of underwater images. First, the original image is compensated using the red channel, and the compensated image is processed with a white balance. Second, LCC and image sharpening are carried out to generate two different image versions. Finally, the local contrast corrected images are fused with sharpened images by the multi-scale fusion method. The results show that the proposed method can be applied to water degradation images in different environments without resorting to an image formation model. It can effectively solve color distortion, low contrast, and unobvious details of underwater images.

scholarly journals The Importance of Sustainability in Diving Tourism—The Case of German Speaking Diving Tourists

2021 ◽  
Vol 13 (11) ◽  
pp. 6485
Author(s):  
Alexander Hodeck ◽  
Jacqueline Tuchel ◽  
Luisa Hente ◽  
Christine von Reibnitz
Keyword(s):  
Literature Review ◽  
Empirical Study ◽  
Target Group ◽  
Conjoint Measurement ◽  
Online Questionnaire ◽  
Ecological Aspects ◽  
Sports Tourism ◽  
German Speaking ◽  
Group A ◽  
Sustainable Behavior

Sustainability in sports tourism has increased in recent years. Sustainability is a particular focus for diving tourism. This paper analyses the meaning of sustainability to German speaking diving tourists to draw conclusions for the development of tourism strategies. Based on a literature review on the importance of sustainability in diving tourism, an empirical study was designed to understand the importance of the topic within the target group. A total of 174 German-speaking diving tourists were surveyed using an online-questionnaire. The subjects were clustered regarding their sustainable behavior. It could be shown that there is a correlation between age as well as gender and sustainable behavior. A conjoint measurement showed that for diving tourists, ecological aspects are more important than the prize of a diving trip. The gained insights can contribute to establish new and more sustainable offers in diving tourism and thus developing this area of sports tourism more sustainably overall.

scholarly journals Multi-Feature Guided Low-Light Image Enhancement

2021 ◽  
Vol 11 (11) ◽  
pp. 5055
Author(s):  
Hong Liang ◽  
Ankang Yu ◽  
Mingwen Shao ◽  
Yuru Tian
Keyword(s):  
Image Enhancement ◽  
Signal To Noise Ratio ◽  
Low Light ◽  
Low Contrast ◽  
Light Image ◽  
Affine Model ◽  
The Neural Network ◽  
Low Visibility ◽  
Model Robustness ◽  
Traditional Image

Due to the characteristics of low signal-to-noise ratio and low contrast, low-light images will have problems such as color distortion, low visibility, and accompanying noise, which will cause the accuracy of the target detection problem to drop or even miss the detection target. However, recalibrating the dataset for this type of image will face problems such as increased cost or reduced model robustness. To solve this kind of problem, we propose a low-light image enhancement model based on deep learning. In this paper, the feature extraction is guided by the illumination map and noise map, and then the neural network is trained to predict the local affine model coefficients in the bilateral space. Through these methods, our network can effectively denoise and enhance images. We have conducted extensive experiments on the LOL datasets, and the results show that, compared with traditional image enhancement algorithms, the model is superior to traditional methods in image quality and speed.

On-road virtual reality autonomous vehicle (VRAV) simulator: An empirical study on user experience

2021 ◽  
Vol 126 ◽  
pp. 103090
Author(s):  
Xin Zou ◽  
Steve O'Hern ◽  
Barrett Ens ◽  
Selby Coxon ◽  
Pascal Mater ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Empirical Study ◽  
User Experience ◽  
Autonomous Vehicle

A Tenuous Pas de Deux: Examining University Dancers’ Access to and Satisfaction with Healthcare Delivery

2018 ◽  
Vol 33 (2) ◽  
pp. 111-117 ◽  
Author(s):  
Tina J Wang ◽  
Jeffrey A Russell
Keyword(s):  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Injury Rate ◽  
Medical Attention ◽  
Informal Networks ◽  
Online Questionnaire ◽  
Negative Experience ◽  
Post Secondary ◽  
Dance Teachers ◽  
Art Form

BACKGROUND: Dance is a rigorous art form and athletic activity accompanied by a high injury rate. The purpose of this study was to gather injury and healthcare availability information from university dancers to better understand dancers’ access to professional medical attention and their satisfaction with the medical advice they receive. METHODS: An author-designed online questionnaire about dance-related injury (DRI), access to healthcare, and satisfaction with healthcare was distributed to dancers at 102 American post-secondary institutions in 2 states that offer programs in dance; 211 dancers completed the survey. RESULTS: 75% of dancers reported seeking healthcare advice from dance teachers. A majority (55%) who visited healthcare professionals for a DRI disclosed negative experiences; the top reasons stemmed from the professionals’ not understanding dancers (70%), providing unhelpful advice (43%), or not spending enough time in the healthcare consultation (33%). Of dancers who reported positive experiences, they most commonly discovered the provider by word-of-mouth (89%) or through the provider’s affiliation with their institution (41%). CONCLUSION: Dancers tend to access healthcare when it is available to them but find the lack of relevant and applicable advice from healthcare practitioners the biggest contributors to their negative experience with the healthcare system. When confronted with DRIs, dancers tend to seek advice from their dance instructors. To ensure proper evaluation, instructors should refer dancers to licensed healthcare providers, and dance medicine practitioners should make themselves known to dancers through both formal and informal networks.

scholarly journals Perceptions towards Online Counseling among University of Jordan Students

2017 ◽  
Vol 11 (12) ◽  
pp. 68 ◽  
Author(s):  
Adel Tannous
Keyword(s):  
Counseling Services ◽  
Online Counseling ◽  
Online Questionnaire ◽  
Face To Face ◽  
Adequate Information ◽  
Life Problems ◽  
The Face ◽  
University Of Jordan ◽  
High Level ◽  
Use Of Internet

Technology and the use of internet has taken counseling service beyond the face-to-face to online counseling services. Online counseling has been available and widely used as more people are going online. Therefore this research aims to examine the perceptions of University of Jordan students toward online counseling. A sample of 210 respondents were selected to complete online questionnaire that contains two aspects of knowledge about and attitude toward online Counseling. The results of the study indicated that respondents have adequate information about the field of online counseling. However, face to face counseling was not the first preferences for most of the respondents. They have a positive attitude and a high level of preferring toward online counseling, and they believe that online counseling is an essential part of their way to deal with daily life problems. The results also indicated that social media is most effective way that help respondents to get online counseling, and it has tremendous effect on respondent's life. 

scholarly journals A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3583 ◽  
Author(s):  
Shiping Ma ◽  
Hongqiang Ma ◽  
Yuelei Xu ◽  
Shuai Li ◽  
Chao Lv ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Color Space ◽  
Color Model ◽  
Low Light ◽  
Image Brightness ◽  
Low Contrast ◽  
Light Sensor ◽  
Hsi Color Model ◽  
Art Research ◽  
Enhancement Algorithm

Images captured by sensors in unpleasant environment like low illumination condition are usually degraded, which means low visibility, low brightness, and low contrast. In order to improve this kind of images, in this paper, a low-light sensor image enhancement algorithm based on HSI color model is proposed. At first, we propose a dataset generation method based on the Retinex model to overcome the shortage of sample data. Then, the original low-light image is transformed from RGB to HSI color space. The segmentation exponential method is used to process the saturation (S) and the specially designed Deep Convolutional Neural Network is applied to enhance the intensity component (I). At the end, we back into the original RGB space to get the final improved image. Experimental results show that the proposed algorithm not only enhances the image brightness and contrast significantly, but also avoids color distortion and over-enhancement in comparison with some other state-of-the-art research papers. So, it effectively improves the quality of sensor images.

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