no code implementations • 5 Apr 2017 • Parag S. Chandakkar, Qiongjie Tian, Baoxin Li
Then we carry out subjective tests, which show that users prefer images enhanced by our approach over other existing methods.
no code implementations • 5 Apr 2017 • Parag S. Chandakkar, Vijetha Gattupalli, Baoxin Li
To this end, we formulate a novel problem of ranking images with respect to their aesthetic quality.
no code implementations • 5 Apr 2017 • Parag S. Chandakkar, Baoxin Li
We compare the performance of an automated algorithm and humans for forgery detection problem.
no code implementations • 5 Apr 2017 • Parag S. Chandakkar, Baoxin Li
This paper presents a novel approach to predicting the enhancement parameters given a new image using only its features, without using any training images.
no code implementations • 5 Apr 2017 • Parag S. Chandakkar, Baoxin Li
Research on automated image enhancement has gained momentum in recent years, partially due to the need for easy-to-use tools for enhancing pictures captured by ubiquitous cameras on mobile devices.
no code implementations • 5 Apr 2017 • Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li
Outdoor shopping complexes (OSC) are extremely difficult for people with visual impairment to navigate.
no code implementations • 5 Apr 2017 • Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li
All people with diabetes have the risk of developing diabetic retinopathy (DR), a vision-threatening complication.
no code implementations • 5 Apr 2017 • Parag S. Chandakkar, Yilin Wang, Baoxin Li
In the framework, the number of lanes, the vehicle's position in those lanes and the presence of other vehicles are considered as parameters.