TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Combined no-reference IQA metric and its performance analysis

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoImage Processing: Algorithms and Systems XVII
DOI - pysyväislinkit
TilaJulkaistu - 13 tammikuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma17th Image Processing: Algorithms and Systems Conference, IPAS 2019 - Burlingame, Yhdysvallat
Kesto: 13 tammikuuta 201917 tammikuuta 2019

Julkaisusarja

NimiIS and T International Symposium on Electronic Imaging Science and Technology

Conference

Conference17th Image Processing: Algorithms and Systems Conference, IPAS 2019
MaaYhdysvallat
KaupunkiBurlingame
Ajanjakso13/01/1917/01/19

Tiivistelmä

The problem of increasing efficiency of blind image quality assessment is considered. No-reference image quality metrics both independently and as components of complex image processing systems are employed in various application areas where images are the main carriers of information. Meanwhile, existing no-reference metrics have a significant drawback characterized by a low adequacy to image perception by human visual system (HVS). Many well-known no-reference metrics are analyzed in our paper for several image databases. A method of combining several no-reference metrics based on artificial neural networks is proposed based on multi-database verification approach. The effectiveness of the proposed approach is confirmed by extensive experiments.