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Beyond the “Bag of Pixels” Paradigm: Spatio-Spectral Perspective in Multispectral Imaging

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Key challenges in multispectral imaging involve two notable“axes”—spectrum and space. Limits to achievable spectral and spatial resolutions in a multispectral measurement device are often considered independently. But the high dimensionality of the multispectral images (and the associated complexities) underscores the difficulty in maximizing the information throughput via this approach. To this effect, I will argue that we must move beyond the“bag-of-pixels” paradigm—that is, treating the spectral design axis independently of the spatial design axis—to begin coding the spatial and spectral information jointly.

Indeed there is significant interplay between the reflectivity of a surface and its structure in space. In this talk I will describe how to leverage these spatio-spectral characteristics to re-evaluate the capacity of the multispectral imaging systems in order to improve upon design for acquisition, analysis, and display. Among benefits to this approach are an analysis framework revealing surprising inefficiencies in existing systems, a method for disambiguating between the reflectance and illuminant, and improvements in fidelity, computation, and signal-to-noise ratio.
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Document Type: Research Article

Publication date: January 1, 2008

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  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    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 papers for details.

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