Objective and subjective measurement and modeling of image quality: a case study

Brian W. Keelan

doi:10.1117/12.862523

Abstract

The image structure quality resulting from several CMOS pixel structures (conventional, backside-illuminated, and diagonally oriented) has been compared using three complimentary techniques: (1) objective measurements of noise equivalent quanta (NEQ) as a function of spatial frequency; (2) perceptual modeling of the multivariate quality loss from blur and noise in units of just noticeable differences (JNDs); and (3) subjective measurement with the softcopy quality ruler, also producing results in JNDs. The results of the perceptual modeling and subjective measurement were in good quantitative agreement. NEQ is not perceptually uniform and so could only be correlated qualitatively with the other methods, but it was helpful in understanding how performance might vary by application, given the spatial frequencies at which the curves crossed. The strengths and weaknesses of each approach are compared; all three have potential utility in evaluating computational imaging systems.

Citation Download Citation

Brian W. Keelan, Brian W. Keelan, } "Objective and subjective measurement and modeling of image quality: a case study", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779815 (7 September 2010); doi: 10.1117/12.862523; https://doi.org/10.1117/12.862523

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