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pro vyhledávání: '"Korhonen Jari"'
With technology for digital photography and high resolution displays rapidly evolving and gaining popularity, there is a growing demand for blind image quality assessment (BIQA) models for high resolution images. Unfortunately, the publicly available
Externí odkaz:
http://arxiv.org/abs/2401.16087
With the rapid development of 3D vision applications based on point clouds, point cloud quality assessment(PCQA) is becoming an important research topic. However, the prior PCQA methods ignore the effect of local quality variance across different are
Externí odkaz:
http://arxiv.org/abs/2305.07829
Publikováno v:
IEEE Int. Conference on Image Processing, 2023
Deep networks have demonstrated promising results in the field of Image Quality Assessment (IQA). However, there has been limited research on understanding how deep models in IQA work. This study introduces a novel positional masked transformer for I
Externí odkaz:
http://arxiv.org/abs/2301.12891
Promising results for subjective image quality prediction have been achieved during the past few years by using convolutional neural networks (CNN). However, the use of CNNs for high resolution image quality assessment remains a challenge, since typi
Externí odkaz:
http://arxiv.org/abs/2106.00918
Autor:
You, Junyong, Korhonen, Jari
Publikováno v:
IEEE Int. Conf. on Image Processing (ICIP) 2021
Transformer has become the new standard method in natural language processing (NLP), and it also attracts research interests in computer vision area. In this paper we investigate the application of Transformer in Image Quality (TRIQ) assessment. Foll
Externí odkaz:
http://arxiv.org/abs/2101.01097
Autor:
You, Junyong, Korhonen, Jari
Publikováno v:
In Journal of Visual Communication and Image Representation January 2022 82
Akademický článek
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Akademický článek
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Autor:
De Renzp, Marco, Awarkeh, Nour, Hrasnica, Halid, Katzouris, Nikos, Alias Alevizos, Manganaris, Kyriakos, Lazarakis, Fotis, Tachporn Sanguanpuak, Korhonen, Jari, Yaqub, Edwin, Rachana Desai, Klinkenberg, Ralf, Alexandros-Apostolos A. Boulogeorgos, Droulias Sotiris, Alexiou, Angeliki
Deliverable D4.4 extends the work conducted within D4.2 “Intelligent D-Band wireless systems and networks initial designs” and includes the final results of the work performed within Task 4.2 “Machine Learning based network intelligence” of W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60e55339e4e8b8f453999935d53bcd32
Publikováno v:
In Signal Processing: Image Communication March 2013 28(3):222-240