Invention Grant
US08472716B2 Block-based noise detection and reduction method with pixel level classification granularity
有权
基于块的噪声检测和还原方法,具有像素级分类粒度
- Patent Title: Block-based noise detection and reduction method with pixel level classification granularity
- Patent Title (中): 基于块的噪声检测和还原方法,具有像素级分类粒度
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Application No.: US12327150Application Date: 2008-12-03
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Publication No.: US08472716B2Publication Date: 2013-06-25
- Inventor: Yu-Ling Chen
- Applicant: Yu-Ling Chen
- Applicant Address: JP Tokyo
- Assignee: Canon Kabushiki Kaisha
- Current Assignee: Canon Kabushiki Kaisha
- Current Assignee Address: JP Tokyo
- Agency: Fitzpatrick, Cella, Harper & Scinto
- Priority: AU2007237365 20071205; AU2007249099 20071218
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
A method detects noise in a document image. The image includes pixels representing at least text and image data forming the document. The noise includes at least one of halftone, bleeding and texture noise. The method partitions the image into tiles, formed of pixels, determines a set of dominant colors for each tile, associates each pixel with one of the determined dominant colors, and then determines for each dominant color a fragmentation statistic, and applies a threshold to each statistic to detect the noise in the corresponding dominant color in the tile. Detected noise in the image is reduced by (a) merging colors with noise to one color without noise if the noise is halftone noise or texture noise; and (b) removing the colors with noise if the noise is bleeding noise. The pixels of the tile are then quantized to those remaining dominant colors of the set.
Public/Granted literature
- US20090148003A1 BLOCK-BASED NOISE DETECTION AND REDUCTION METHOD WITH PIXEL LEVEL CLASSIFICATION GRANULARITY Public/Granted day:2009-06-11
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