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Proceedings Paper

Comparison of lossy image compression techniques with respect to their impact on edge detectors
Author(s): Josef Scharinger; Franz Pichler; Hans Georg Feichtinger; Franz W. Leberl
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Paper Abstract

Lossy compression techniques provide far greater compression ratios than lossless and are, therefore, usually preferred in image processing applications. However, as more and more applications of digital image processing have to combine image compression and highly automated image analysis, it becomes of critical importance to study the interrelations existing between image compression and feature extraction. In this contribution we present a clear and systematic comparison of contemporary general purpose lossy image compression techniques with respect to fundamental features, namely lines and edges detected in images. To this end, a representative set of benchmark edge detection and line extraction operators is applied to original and compressed images. The effects are studied in detail, delivering clear guidelines which combination of compression technique and edge detection algorithm is best used for specific applications.

Paper Details

Date Published: 14 November 1996
PDF: 12 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258257
Show Author Affiliations
Josef Scharinger, Johannes Kepler Univ. Linz (Austria)
Franz Pichler, Johannes Kepler Univ. Linz (Austria)
Hans Georg Feichtinger, Univ. Vienna (Austria)
Franz W. Leberl, Graz Univ. of Technology (Austria)


Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

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