14 November 1996 Comparison of lossy image compression techniques with respect to their impact on edge detectors
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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.
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Josef Scharinger, Josef Scharinger, Franz Pichler, Franz Pichler, Hans Georg Feichtinger, Hans Georg Feichtinger, Franz W. Leberl, Franz W. Leberl, } "Comparison of lossy image compression techniques with respect to their impact on edge detectors", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258257; https://doi.org/10.1117/12.258257

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