A New Technique for Archiving Manuscript Documents

摘要

In the specific context of safeguard of old documents encountered by specific problems of conservation (damp patches, folds, tears, shade… etc.), we are interested in the diagnosis of the methods of compression of the two families: reversible (without loss) and irreversible methods (with loss). Particularly, we are interested in the current methods like RLE, Compression LZ and LZW, Huffman, Deflate, CCITT Group 3 and 4, JPEG, JPEG2000, png, and fractal Compression. The goal of this work is to develop a semi-automatic tool able to quantify the quality of a compression of old documents. Then, can answer objectively for the choice of a compression method from a collection of images. The choice of this collection must be representative in terms of a number of images and typology of images of the same context, like here the old documents. In this paper, we propose a semi-automatic method that operates at the first time on a supervised classification of the original image to raise K groups with distinguished characteristics. The choice of K is previously determined by the user: writing, bottom, tear….etc. In the second step, we calculate the movements (intra class and inter class). The last step consists in calculating of the degradation measurement.