Compressing the background layer in compound images,using JPEG and data filling |
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Affiliation: | 1. Cultural & Educational Technology Institute, 58 Tsimiski Str., 67100 Xanthi, Greece;2. Electrical and Computer Engineering, Democritus University of Thrace, Vas. Sofias 12, 67100 Xanthi, Greece;1. Universidade Federal de Pernambuco, Pós Graduação em Ciência de Materiais, PE, Brasil;2. Universidade Federal de Pernambuco, Departamento de Física, PE, Brasil;1. School of Chemistry & Chemical Engineering, Taishan University, Taian 271000, China;2. School of Physics & Electronic Engineering, Taishan University, Taian 271000, China;3. Department of Scientific Research, Taishan University, Taian 271000, China;1. Applied Ion Beam Physics Laboratory, Key Laboratory of the Ministry of Education, Institute of Modern Physics, Fudan University, Shanghai 200433, PR China;2. Department of Nuclear Science and Technology, Fudan University, Shanghai 200433, PR China;3. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, PR China |
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Abstract: | ![]() To efficiently compress rasterized compound documents, an encoder must be content-adaptive. Content adaptivity may be achieved by employing a layered approach. In such an approach, a compound image is segmented into layers so that appropriate encoders can be used to compress these layers individually. A major factor in using standard encoders efficiently is to match the layers’ characteristics to those of the encoders by using data filling techniques to fill-in the initially sparse layers. In this work we present a review of methods dealing with data filling and propose also a sub-optimal non-linear projections scheme that efficiently matches the baseline JPEG coder in compressing background layers, leading to smaller files with better image quality. |
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