Abstract
An algorithm is presented for reconstructing image subband coefficients lost or delayed during transmission. The algorithm consists of two parts, allowing reconstruction of both low-frequency and high-frequency coefficients. Low-frequency coefficients are reconstructed using bicubic interpolation in which the interpolation grid is adapted to achieve accurate edge placement in the synthesized image. The adaptation is based on subband analysis of an edge model, which demonstrates that edges can be identified using the decimated high-frequency subbands without requiring edge detection on the low-frequency band itself. High-frequency coefficients are reconstructed using one-dimensional linear interpolation, which provides good visual performance as well as maintaining properties required for edge placement in the low-frequency reconstruction. The algorithm performs well on losses of single coefficients, l-d vectors, and small blocks, and is therefore applicable to a variety of coding techniques.
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© 1998 Springer Science+Business Media Dordrecht
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Hemami, S.S., Gray, R.M. (1998). Subband Coded Image Reconstruction for Lossy Packet Networks. In: Signal Recovery Techniques for Image and Video Compression and Transmission. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6514-4_4
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DOI: https://doi.org/10.1007/978-1-4757-6514-4_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5063-5
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