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Error Diffusion and Edge Enhancement: Raster Versus Omni-Directional Processing

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Error diffusion is a well known technique for generating bi-level images and is often used instead of a halftone screen process in order to minimize the visual impact of quantization error. In addition, some kernels used for error diffusion are capable of enhancing the appearance of edge sharpness. The current study examined experimentally the effect of kernel type on the magnitude and the directional symmetry of edge enhancement. In addition, an alternative to raster image processing, involving a linear algorithm called linear pixel shuffling, was used to perform error diffusion. This allows the use of symmetrical kernels and the omni-directional diffusion of quantization error. Edge enhancement with omni-directional error diffusion was examined and found to be capable of more directionally uniform enhancement of edges than is possible with raster error diffusion.
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Document Type: Research Article

Publication date: July 1, 2002

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

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    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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