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Àíãëèéñêèå ìàòåðèàëû Èñõîäíûå òåêñòû êîìïðåññîðîâ Òåñòîâûå äàííûå Ïîëåçíûå ññûëêè

Ðóññêèå ìàòåðèàëû
Àâòîðû Íàçâàíèå Îïèñàíèå Ðåéòèíã
Àãååíêî Å.È, Franti P. Ñæàòèå áèíàðíîé ãðàôèêè â èíôîðìàöèîííûõ è òåëåêîììóíèêàöèîííûõ ñèñòåìàõ. Îïèñàíà ìîäèôèêàöèÿ ìåòîäà JBIG, ïîçâîëÿþùàÿ óñêîðèòü êîäèðîâàíèå â 2-3 ðàçà.
Proc. Conf. "Role of new information technologies in development of education, science and culture in Russia", Ulyanovsk (Simbirsk), Russia, 1997.
PDF  309 êáàéò
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Òåêñòû ñòàíäàðòîâ
Àâòîðû Íàçâàíèå Îïèñàíèå Ðåéòèíã
ITU-T Recommendation T.4 (Previously "CCITT Recommendation") CCITT Group 3. Standardization of Group facsimile terminals for document transmission Àêòèâíî èñïîëüçóþùèéñÿ ñòàíäàðò íà ñæàòèå ôàêñèìèëüíûõ èçîáðàæåíèé
RAR  992 êáàéò
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ITU-T Recommendation T.6 (Extract from the "Blue Book") CCITT Group 4. Facsimile coding schemes and coding control functions for Group 4 facsimile apparatus Ðàçâèòèå ñòàíäàðòà CCITT G3
RAR  172 êáàéò
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Àíãëèéñêèå ìàòåðèàëû
Howard P. Text Image Compression Using Soft Pattern Matching We present a method for both lossless and lossy compression of bi-level images that consist mostly of printed or typed text. The key feature of the method is soft pattern matching, a way of making use of the information in previously encountered characters without risking the introduction of character substitution errors. We can obtain lossless compression which is about 20% better than that of the JBIG standard by direct application of this method...
The Computer Journal, Vol. 40, No. 2/3, pp.146-156, 1997.
PDF.RAR  97 êáàéò
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Inglis S. Lossless Document Image Compression Äîêòîðñêàÿ äèññåðòàöèÿ Ñòüþàðòà Èíãëèñà. Ðàññìàòðèâàþòñÿ ìåòîäû ñæàòèÿ òåêñòîâûõ èçîáðàæåíèé áåç ïîòåðü, ñåãìåíòàöèè îáëàñòåé òåêñòîâûõ è íåòåêñòîâûõ èçîáðàæåíèé, âûÿâëåíèÿ ñêîñîâ.
Ph.D thesis, Department of Computer Science, The University of Waikato, March 1999.
PDF.RAR  1825 êáàéò
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Ye Y., Schilling D., Cosman P., Koy H.H. Symbol Dictionary Design for the JBIG2 Standard ...We propose a two-pass technique for choosing the dictionary entries, and discuss the trade-offs in bit allocation that these choices entail. The proposed dictionary design technique outperforms simpler dictionary formation techniques by up to 7-9% and 10-18% for lossless and lossy compression, respectively. In the lossy case, we further point out one way to significantly speed up the symbol bitmap compression procedure.
Proceedings of IEEE Data Compression Conference, Snowbird, Utah, March 28-30, 2000.
PDF.RAR  49 êáàéò
PS.RAR    37 êáàéò
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Malvar H.S. Fast Adaptive Encoder for Bi-Level Images ...The proposed bi-level coder (BLC) uses two simple adaptation rules: the first to compute context-dependent probability estimates that control a pixel prediction module, and the second to adjust a run-length parameter in a Run-Length-Rice (RLR) coder... Due to its simplicity, in many applications BLC may be a better choice than JBIG or JBIG-2.
Proceedings of IEEE Data Compression Conference, Snowbird, Utah, March 27-29, 2001.
PDF.RAR  146 êáàéò
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Ageenko E., Franti P. Compression of large binary images in digital spatial libraries Îïèñàí ìåòîä ñòàòè÷åñêîãî ïîñòðîåíèÿ äåðåâà êîíòåêñòîâ äëÿ ìîíîõðîìíûõ èçîáðàæåíèé. Ïî ñðàâíåíèþ ñ JBIG1 äàåò î÷åíü íåïëîõèå ðåçóëüòàòû, íî ðàñïàêîâêà ìåäëåííåå, à óïàêîâêà ñèëüíî ìåäëåííåå, ÷åì ó JBIG1.
Computers & Graphics, 24 (1), pp.91-98, Elsevier Science, February 2000.
PDF  651 êáàéò
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Paul J. Ausbeck Jr. The Skip-Innovation Model for Sparse Images On sparse images, contiguous runs of identical symbols often occur in the same coding context. This paper proposes a model for efficiently encoding such runs in a two-dimensional setting. Because it is model based, the method can be used with any coding scheme.
Proceedings of IEEE Data Compression Conference, Snowbird, Utah, March 28-30, 2000.
PDF  89 êáàéò
DOC.RAR  25 êáàéò
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E. Ageenko Context-based Compression of Binary Images Äàííàÿ äèññåðòàöèÿ ïîñâÿùåíà ñæàòèþ è îáðàáîòêå áîëüøèõ ìîíîõðîìíûõ èçîáðàæåíèé.
University of Joensuu, 2000
PDF.RAR  3.8 ÌÁ
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Tong Zhang Compression by Model Combination Äåìîíñòðàöèÿ ñìåøèâàíèÿ ìîäåëåé ìàëûõ ïîðÿäêîâ íà ïðèìåðå ìîíîõðîìíûõ èçîáðàæåíèé.
Proceedings of IEEE Data Compression Conference, Snowbird, Utah, March 30, 1998.
PDF.RAR  81 êáàéò
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H.Helfgott and M.Cohn LINEAR-TIME CONSTRUCTION OF OPTIMAL CONTEXT TREES We show how to construct an optimal context tree for a given plaintext and context order. Our algorithm runs in time linear in the size of the plaintext and the size of the context, and consumes space linear in the size of the plaintext. We evaluate the algorithm's performance on the CCITT test set for bilevel images with the Euclidean-norm context order.
Proceedings of IEEE Data Compression Conference, Snowbird, Utah, March 30, 1998.
(áèòûé)PDF.RAR  217 êáàéò
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S. M. Aghito and S. Forchhammer Context Based Coding of Binary Shapes by Object Boundary Straightness Analysis A new lossless compression scheme for bi-level images targeted at binary shapes of image and video objects is presented. The scheme is based on a local analysis of the digital straightness of the causal part of the object boundary, which is used in the context definition for arithmetic encoding.
IEEE Data Compression Conference, pp.399-408. Utah, USA, March 2004.
PDF.RAR  144 êáàéò
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Èñõîäíûå òåêñòû êîìïðåññîðîâ
Markus Kuhn JBIG-KIT library Ðåàëèçàöèÿ àëãîðèòìà JBIG (JBIG1). Ñäåëàíî ïî-íåìåöêè îñíîâàòåëüíî.
ßçûê: C.
Ñàéò ïðîåêòà
ïîëíàÿ âåðñèÿ 1.4  313 êáàéò
âåðñèÿ 1.4 ñ óäàëåííûìè òåñòîâûìè èçîáðàæåíèÿìè  64 êáàéò
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Leon Bottou and Yann Le Cun DjVu reference library Ðåàëèçàöèÿ àëãîðèòìîâ è ôîðìàòà DjVu (âàðèàöèÿ íà òåìó JBIG2). Ïðåäíàçíà÷åíî äëÿ þíèêñîèäîâ, íî, ñ ïîìîùüþ çóáèëà, ìîæíî ïîðòèðîâàòü è íà Win32. Àãà, è åùå îòñþäà ìîæíî âûêîâûðÿòü Z-coder.
ßçûê: C++.
Ñàéò ïðîåêòà
âåðñèÿ 3.5.9  1.03 ÌÁ
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Òåñòîâûå äàííûå
Ñàéò Êîììåíòàðèé
Íàáîð ñòàíäàðòíûõ èçîáðàæåíèé CCITT Íàáîð äàâíî óñòàðåë, íî äðóãîãî íåò.


Ïîëåçíûå ññûëêè
Îôèöèàëüíûé ñàéò ïðîåêòà JBIG
Îôèöèàëüíûé ñàéò ïðîåêòà JBIG2
Ñòðàíè÷êà Å.Àãååíêî Èìååòñÿ ââîäíûé ðàçäåë ïî ñæàòèþ ìîíîõðîìíûõ èçîáðàæåíèé.

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