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LEADTOOLS Mixed Raster Content Compression (MRC) Included in LEADTOOLS Document Imaging SDK'sLEADTOOLS MRC image segmentation and compression offers optimal compression for documents that have both text and color images in the same file. Standard compression schemes are geared toward an image being entirely comprised of either text or color. The MRC model segments these images into both text and color segment types and then compresses each segment independently. This results in both high compression factors and high detail retention. LEADTOOLS MRC:LEADTOOLS Mixed Raster Content enables most different coding methods and many resolutions (such as 1-bit, 2-bit, grayscale, and pictures) to be used within a single page by defining a 3-layer image model for structuring and combining the scanned image data. The image is segmented and each segment assigned a type based on the number of colors used in that segment. Segments can be combined and compressed using different compression schemes to create a file that balances quality with compression. Image SegmentationThe MRC toolkit provides an efficient way to segment the image. The segmentation process breaks the image according to its colors into different 9 types:
Key Features:
PDF Compression with Segmentation:LEADTOOLS provides support for PDF compression through the MRC segmentation process. The MRC segmentation can be used to break down a page/image into smaller segments, saving each segment using the compression appropriate for that segment. One page of a PDF file may have an image JPEG compressed, some text JBIG2 compressed, and another area CCITT compressed. This process works to provide a PDF file with better compression and quality than just a standard Raster PDF file. Key Features:
Standard MRC T.44: Data Compression / File Compression for DocumentsMRC separates an image, through efficient algorithms, into three different layers: foreground, background, and mask. Each layer is compressed separately using the best type of compression for that data type and is later uncompressed and recombined to restore the original image. For Example: A foreground layer contains color data for the text and line art, and may also contain photographic or continuous tone color data. The background layer generally contains low-resolution color image data, such as a background image, a wash or other pattern that would have text overlaid on it. The mask layer or the selector layer controls the process of image regeneration and contains binary image data that is high spatial resolution, such as text and line art. This layer is used for drawing the corresponding foreground and background layers. Key Features:
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