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Mosquito Noise Reduction Algorithm for Decoded Image

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The mosquito noise and false contour that doesn't exist in the original image sometimes appear in a decoded image. These noises are desirable for us to remove. Thereupon, we propose the new algorithm that mosquito noise is reduced on the basis of the pixel information of a decoded image. First of all, our proposed algorithm calculates the standard deviation by using the luminance of each pixel in the square block.

Next, we do the filtering process by using the Epsilon filter algorithm with the standard deviation in each square block. Through several computer experiments, we understood that we were able to reduce mosquito noise by using our proposed algorithm without damaging the quality of the decoded image.
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Document Type: Research Article

Publication date: January 1, 2003

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  • For more than 30 years, IS&T's series of digital printing conferences have been the leading forum for discussion of advances and new directions in 2D and 3D printing technologies. A comprehensive, industry-wide conference that brings together industry and academia, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems?particularly those involved with additive manufacturing and fabrication?including bio-printing, printed electronics, page-wide, drop-on-demand, desktop and continuous ink jet, toner-based systems, and production digital printing, as well as the engineering capability, optimization, and science involved in these fields. In 2016, the conference changed its name formally to Printing for Fabrication to better reflect the content of the meeting and the evolving technology of printing.

    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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