tailieunhanh - Báo cáo hóa học: " Research Article Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 75402 11 pages doi 2007 75402 Research Article Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking Jian Yang Applied Vision Research and Consulting 6 Royal Birkdale Court Penfield NY 14526 USA Received 4 January 2006 Revised 10 July 2006 Accepted 13 August 2006 Recommended by Maria Concetta Morrone A quantitative model of implicit masking with a front-end low-pass filter a retinal local compressive nonlinearity described by a modified Naka-Rushton equation a cortical representation of the image in the Fourier domain and a frequency-dependent compressive nonlinearity was developed to simulate visual image processing. The model algorithm was used to estimate contrast sensitivity functions over 7 mean illuminance levels ranging from to 900 trolands and fit to the contrast thresholds of 43 spatial patterns in the Modelfest study. The RMS errors between model estimations and experimental data in the literature were about log unit. In addition the same model was used to simulate the effects of simultaneous contrast assimilation and crispening. The model results matched the visual percepts qualitatively showing the value of integrating the three diverse perceptual phenomena under a common theoretical framework. Copyright 2007 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION A human vision model would be attractive and extremely useful if it can simulate visual spatial perception and performance over a broad range of conditions. Vision models often aim at describing pattern detection and discrimination 13 or brightness perception 4 5 but not both due to the difficulty of simulating the complex behavior of the human visual system. In an effort to develop a general purpose vision model the author of this paper proposed a framework of human visual image processing and demonstrated the capability of .

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