Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Efficient Conversion of Digital Documents to Multilayer Raster Formats
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
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The performance of large-scale projects on digitizing of printed publications and/or manuscripts necessitate the storage and website display of images, whose aggregate size can total tens and hundreds of terabytes. In order to reduce this size to a reasonable minimum, the optimum data compression modes are to be selected for digitized images. The choice of the suitable image compression format, determination of the necessary compression level, and setting the desirable quality of the resulting image require detailed and comprehensive information about changes that occur to digitized images during their compression. A method is required for image quality evaluation that would duly take the specifics of the work with the digitization results into account. Here, a method is described for the compilation of a sample of digitized images for the study of the impact made on them by compression. An image quality scale is presented that was developed for the comparison of compressed digitized images with the originals.