Abstract
Several lossy image coders are designed without considering the nature of the images. Images are composed at least by textures, edges, and details associated with edges. Sometimes important information in the images, such as edges that are used for image understanding, is lost in the coding quantization stage. In this paper we present a novel edge-preserving lossy image coder. The core of the proposed coder is a modification of the SPIHT algorithm and the definition of the edges in the wavelet and contourlet domain. Additionally, we show the results obtained in order to demonstrate the effectiveness of the proposed coder compared with two existing coders, even at very low bit rates.
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Vergara Villegas, O.O., de Alfaro, M.J.N., Sánchez, V.G.C. (2009). A Novel Edge-Preserving Lossy Image Coder. In: Mastorakis, N., Mladenov, V., Kontargyri, V. (eds) Proceedings of the European Computing Conference. Lecture Notes in Electrical Engineering, vol 27. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-84814-3_12
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DOI: https://doi.org/10.1007/978-0-387-84814-3_12
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