인지적 특성에 기반을 둔 화질 평가 방법 -화질 평가 모형 제작을 중심으로-
The Methods to Evaluate the Image Quality Based on Cognitive Basis
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Recent changes show that the goals of reproduction devices have changed from accurately reproducing scenes to improving user preferences. It implies that the directions in developing cameras, the most common reproduction devices, are moving from performance -centered to quality-centered, from developers to users. Accepting such changes demand new standards in evaluating reproduction devices. This paper suggests a new method to evaluate the quality of images, based on cognitive properties of users. Through precedent studies and analysis, elements that effect the quality of images has been classified, and the applicability of the model has been assessed with preliminary tests. The classified elements are detail, tone reproduction and color reproduction. Presuming that the elements influence one and other, numbers of hypothesis were drawn to meet each item. 1,015 test stimuli had been produced to verify the hypothesis, and 84 test stimuli were selected by user preference. The experiment was carried out to 127 subjects, with the 84 test stimuli and 11 evaluation factors, followed by an analysis using structural equation modeling. Final evaluation model suggested is on the basis of the test results.
Abstract
Recent changes show that the goals of reproduction devices have changed from accurately reproducing scenes to improving user preferences. It implies that the directions in developing cameras, the most common reproduction devices, are moving from performance -centered to quality-centered, from developers to users. Accepting such changes demand new standards in evaluating reproduction devices. This paper suggests a new method to evaluate the quality of images, based on cognitive properties of users. Through precedent studies and analysis, elements that effect the quality of images has been classified, and the applicability of the model has been assessed with preliminary tests. The classified elements are detail, tone reproduction and color reproduction. Presuming that the elements influence one and other, numbers of hypothesis were drawn to meet each item. 1,015 test stimuli had been produced to verify the hypothesis, and 84 test stimuli were selected by user preference. The experiment was carried out to 127 subjects, with the 84 test stimuli and 11 evaluation factors, followed by an analysis using structural equation modeling. Final evaluation model suggested is on the basis of the test results.
참고문헌 (22)
- Boust, C., "Color Enhancement of Digital images by Experts and Preference Judgments by Observer", The Journal of imaging science and technology, 50(1), pp.1~11 (2006)
- Brain W. Keelan, "Handbook of Image Quality; Characterization and Prediction" (2002), Marcel Dekker
- Feigenbaum, "Total Quality Control" (1983), Mcgraw-Hill
- Don Williams, "Imaging Performance Taxonomy. SPIE-IS&T Electronic Imaging Symposium" (2009), CA
- E. Bruce Goldstein, "Sensation & Perception 7th ed 감각과 지각" (2007), 시그마 프레스
- Hamid Rahim Sheikh, "Image Quality Assessment Using Natural Scene Statistics", 박사, pp.2004
- ISO 20462, "Photography-Psychophysical experimental methods to estimate image quality", International Organization for Standardization, ~ (2004)
- ITU-R Rec. BT, "Methodology for the subjective assessment of the quality of television pictures", ~ (2002)
- Marius Pedersen, "Attributes of a New Image Quality Model for Color Prints", 17th Color Imaging Conference Final Program and Proceedings, Society for Imaging Science and Technology, pp.204~209 (2009)
- Peter G. Engeldrum, "Psychometric Scaling: Avoiding the Pitfalls and Hazards", IS&T’s 2001 PICS Conference Proceedings, pp.101~107 (2001)
- Robert L. Solso, "Cognition & the Visual Art 시각 심리학" (2000), 시그마프레스
- S. R. Fernandez, "Analysis of observer and cultural variability while generating “preferred” color reproductions of pictorial images", Journal of Imaging Science and Technology, 49(1), pp.96~104 (2005)
- S.N., "Colourfulness judgments of natural scenes", Acta Psychologica, 77, pp.79~94 (1997)
- 노연숙, "광원에 따른 화이트 밸런스의 JND 특성과 선호 설정 연구", 한국색채학회논문집, 21(4), pp.1~8 (2007), 한국색채학회
- 노연숙, "인물 촬영을 위한 디지털 카메라의 적정 노출 설정 연구 :피부톤 재현 선호도를 중심으로", 한국콘텐츠학회 논문지, 8(8), pp.111~118 (2008), 한국콘텐츠학회
- 박수진, "사진 이미지와 관련된 감성 어휘 분석 및 색 유무에 따른 감성 반응 비교", 감성과학, 7(1), pp.41~49 (2004), 한국감성과학회
- 배준성, "구조방정식을 이용한 이동통신단말기의 고객만족 평가 요인간 인과관계 모형", 석사, pp.2002
- AMOS 통계분석방법, "SPSS", pp.2009, 송지준
- 양병화, "다변량 데이터 분석법의 이해" (2006), 커뮤니케이션북스
- 이구형, "감성과 감정의 이해를 통한 감성의 체계적 측정 평가", 감성과학회지, 1(1), pp.113~122 (1998)
- 정우현, "사진의 밝기, 대비, 색조의 변화가 감상자의 감성인상에 미치는 효과", AURA, (14), pp.149~156 (2006), 한국사진학회
- 장은혜, "TV 화질에 대한 감성평가척도 개발", 감성과학, 12(1), pp.121~128 (2009), 한국감성과학회