Can state-of-the-art HVS based objective image quality criteria be used for image reconstruction techniques based on ROI analysis?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00193997" target="_blank" >RIV/68407700:21230/12:00193997 - isvavai.cz</a>

Výsledek na webu

<a href="http://spie.org/x12290.xml" target="_blank" >http://spie.org/x12290.xml</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.923612" target="_blank" >10.1117/12.923612</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Can state-of-the-art HVS based objective image quality criteria be used for image reconstruction techniques based on ROI analysis?

Popis výsledku v původním jazyce

Various image processing techniques in multimedia technology are optimized using visual attention feature of the human visual system. Spatial non-uniformity causes that different locations in an image are of different importance in terms of perception ofthe image. In other words, the perceived image quality depends mainly on the quality of important locations known as regions of interest. The performance of such techniques is measured by subjective evaluation or objective image quality criteria. Many state-of-the-art objective metrics are based on HVS properties; SSIM, MS-SSIM based on image structural information, VIF based on the information that human brain can ideally gain from the reference image or FSIM utilizing the low-level features to assignthe different importance to each location in the image. But still none of these objective metrics utilize the analysis of regions of interest. We solve the question if these objective metrics can be used for effective evaluation of image

Název v anglickém jazyce

Can state-of-the-art HVS based objective image quality criteria be used for image reconstruction techniques based on ROI analysis?

Popis výsledku anglicky

Various image processing techniques in multimedia technology are optimized using visual attention feature of the human visual system. Spatial non-uniformity causes that different locations in an image are of different importance in terms of perception ofthe image. In other words, the perceived image quality depends mainly on the quality of important locations known as regions of interest. The performance of such techniques is measured by subjective evaluation or objective image quality criteria. Many state-of-the-art objective metrics are based on HVS properties; SSIM, MS-SSIM based on image structural information, VIF based on the information that human brain can ideally gain from the reference image or FSIM utilizing the low-level features to assignthe different importance to each location in the image. But still none of these objective metrics utilize the analysis of regions of interest. We solve the question if these objective metrics can be used for effective evaluation of image

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP102%2F10%2F1320" target="_blank" >GAP102/10/1320: Výzkum a modelování pokročilých metod hodnocení kvality obrazové informace</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Optics, Photonics, and Digital Technologies for Multimedia Applications II

ISBN

978-0-8194-9128-2

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

12

Strana od-do

1-12

Název nakladatele

SPIE - The International Society for Optical Engineering

Místo vydání

Washington

Místo konání akce

Brussels

Datum konání akce

16. 4. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000305508300050