Multicriteria method of denoising and simplifying thermal images

Evgeny A. Semenishchev; Viacheslav Voronin; Aleksand Zelensky

doi:10.1117/12.2571569

21 August 2020 Multicriteria method of denoising and simplifying thermal images

Evgeny A. Semenishchev, Viacheslav Voronin, Aleksand Zelensky

Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 1151031 (2020) https://doi.org/10.1117/12.2571569
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Conference Poster

Abstract

In Virtual Reality (VR), the necessity of immersive videos leads to greater challenges in compression and communication owing to the much higher spatial resolution, rapid, and the often real-time changes in viewing direction. Foveation in displays exploits the space-variant density of the retinal photoreceptors, which decreases exponentially with increasing eccentricity, to reduce the amount of data from the visual periphery. Foveated compression is gaining relevance and popularity for Virtual Reality. Likewise, being able to predict the quality of displayed foveated and compressed content has become more important. Towards advancing the development of objective quality assessment algorithms for foveated and compressed measurements of VR video contents, we built a new VR database of foveated/compressed videos, and conducted a human study of perceptual quality on it. A foveated video player having low motion-to-photon latency (~50ms) was designed to meet the requirements of smooth playback, while an eye tracker was deployed to provide gaze direction in real time. We generated 180 distorted videos from 10 pristine 8K videos (30fps) having varying levels and combinations of foveation and compression distortions. These contents were viewed and quality-rated by 36 subjects in a controlled VR setting. Both the subject ratings and the eye tracking data are being made available along with the rest of the database.

Citation Download Citation

Evgeny A. Semenishchev, Viacheslav Voronin, and Aleksand Zelensky "Multicriteria method of denoising and simplifying thermal images", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151031 (21 August 2020); https://doi.org/10.1117/12.2571569

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available