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Simulation of Image Detail Visibility using Contrast Sensitivity Functions and Wavelets

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Natural images contain a lot of information imperceptible to the human eye. While it is of key importance to maintain the visible information in image reproduction processes, the imperceptible information can, with good benefit, be discarded. In order to identify the imperceptible information, a method for simulating this particluar aspect of the human visual system is required. In this paper we present a robust contrast filtering method for simulating the detail visibility of natural images. The method removes image spatial-frequency components that are undetectable at a given viewing distance. The method is based on the relationship between contrast sensitivity and spatial frequency (contrast sensitivity functions) and octave-wise spread over the spatial frequency range matched by wavelet decompositions. An experimental evaluation of the method, where simulated distance is compared to observered discrimination distance, shows promising results. The proposed contrast filtering method has a wide range of applications; it can be used in, e.g., image quality metrics, image compression, gamut mapping, and halftoning.
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Document Type: Research Article

Publication date: January 1, 2012

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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