Task Oriented Image Quality Assessment for Synthesized Images

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

In this study, we propose a new general learning-based framework, named Task-Oriented Image Quality Assessment, for evaluating the performance of Reference-guided image synthesis (RIS) tasks. Our framework uniquely employs both source and target images to construct content- and style-encoded feature embeddings, and then evaluates the quality of the synthesized images by comparing their feature distances to those of the source and target images. We designed a two-branch network that embeds both content and style elements simultaneously. Our training process uses a style-level interpolation strategy to generate intermediate styled images for training, eliminating the need for human annotations. The quality score is calculated using a ratio-based distance that considers both the synthesized image from the source image and to the target image. Our method was evaluated using the HIDER dataset and RESIDE dataset, which provide subject scores for each image. The obtained result shows the efficiency of our method.

Original languageEnglish
Title of host publicationPattern Recognition - 27th International Conference, ICPR 2024, Proceedings
EditorsApostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
PublisherSpringer Science and Business Media Deutschland GmbH
Pages140-153
Number of pages14
ISBN (Print)9783031783883
DOIs
Publication statusPublished Online - 5 Dec 2024
Event27th International Conference on Pattern Recognition, ICPR 2024 - Kolkata, India
Duration: 1 Dec 20245 Dec 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15325 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th International Conference on Pattern Recognition, ICPR 2024
Country/TerritoryIndia
CityKolkata
Period1/12/245/12/24

Keywords

  • Image quality assessment
  • Reference-guided image synthesis
  • Two-branch networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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