Compression of line drawing images using Hough transform for exploiting global dependencies
نویسندگان
چکیده
A two-stage method is proposed for compressing bi-level line drawing images. In the first stage line elements are extracted from the image using the Hough transform. In the second stage the original image is compressed by a pixelwise context model. The compressed file consists of the extracted line elements and the compressed raster image. Pixels in the reconstructed feature image are utilized in the local context model in the form of improved prediction accuracy. Better compression performance is achieved if the improvement outweighs the overhead required by the line elements.
منابع مشابه
Lossless and near-lossless compression of line-drawing images using Hough transform
Two novel methods for compressing bi-level line-drawing images are proposed. The main idea is the use of the Hough transform (HT). In the first phase, HT is applied for extracting line segments from the image. In the second phase, the original image is compressed by a JBIG-based method. The first variant (lossless method) uses reconstructed feature image for improving the prediction accuracy in...
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