Farsi and Arabic document images lossy compression based on the mixed raster content model

Grailu, Hadi; Lotfizad, Mojtaba; Sadoghi-Yazdi, Hadi

doi:10.1007/s10032-009-0088-6

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…Lossy compression [11,12,13], in contrast, is based upon the assumption that the data does not have to be stored exactly. Much information can be simply thrown away from images, video data, and audio data, and when uncompressed such data can appear indistinguishable, from the original, for a human user.…”

Section: Introductionmentioning

confidence: 99%

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Dudek¹,

Borys²

2011

Acta Phys. Pol. B

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In our previous research we have proposed new method for image compression which was based on LZ77 dictionary algorithm. We introduced two modifications such as inaccurate color matching and noise acceptance. Experimental results presented in that paper proved that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm. In this paper, we propose to supplement the previous algorithm with frequency content reduction. To this end we propose an interpolation based scaling and a compression along the vertical axes. The obtained results are compared to the previously proposed method.

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Section: Introductionmentioning

confidence: 99%

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Dudek¹,

Borys²

2011

Acta Phys. Pol. B

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“…[7] considered rate-distortion method for segmentation and claims that the results are better than the standard DjVu algorithm.…”

Section: Work Done Using Mrcmentioning

confidence: 98%

Enhanced layer based compound image compression

Maheswari

Radha

2010

Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India

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Information explosion along with the tremendous growth in software and hardware technology are moving industries, educational institutions, organizations towards "paperless" environment. This change has a direct impact on the amount of information digitized, thus increasing the need for efficient storage mechanisms. Digitized information mostly consist of compound images, which are a combination of different data types like text, graphics, line art, photographs, etc. Layer based compression is one of the frequently used solution to compress these kind of images. This paper proposes a novel layer based compound image compression technique. Care is taken to produce lossless compression for text part of the image and to improve the quality of the image as a whole after decompression. Experimental results were conducted to analyze the performance of the proposed compressor.

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Textual Image Compression for Maintaining or Improving the Recognition Performance

Grailu

2016

Circuits Syst Signal Process

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Farsi and Arabic document images lossy compression based on the mixed raster content model

Cited by 6 publications

References 35 publications

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Enhanced layer based compound image compression

Textual Image Compression for Maintaining or Improving the Recognition Performance

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