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New Techniques for Printed Text Image Compression | ||
| Baghdad College of Economic sciences University | ||
| Article 1, Volume 0, Issue 16, 2018, Pages 375-390 | ||
| Abstract | ||
| pattern matching is the most time consuming process in printed text image compression with JBIG2 and wavelet transform. in this paper we propose two techniques to pattern matching process for compression. By limiting the search range for matching symbols in the dictionary and by making early decisions about the pattern matching outcome, the first technique saves another 52% of encoding time with no coding loss.the second technique looks at enhanced prescreening using additional symbol features (extract using wavelet transform) besides symbol size from the selected wavelet coefficient of transform symbol. Using certain topological features, enhanced prescreening can save up to 92% of encoding time. | ||
| Keywords | ||
| wavelet transforms theory; enhanced prescreening | ||
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