JPEG2000 - image compression fundamentals, standards and practice

By David S. Taubman, Michael W. Marcellin. 2013

3,752 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

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In Computer Vision and Pattern Recognition

Citations in the corpus

Memory Replay with Data Compression for Continual Learning (2022, neutral): “Representative hand-crafted approaches include JPEG (or JPG) (Wallace, 1992), which is the most commonly-used algorithm of lossy compression (Mentzer et al., 2020), WebP (Lian & Shilei, 2012) and JPEG2000 (Rabbani, 2002).”
High-Fidelity Generative Image Compression (2020, methodology): “Various algorithms have been proposed over the years [50, 43, 54], including using stateof-the-art video compression algorithms for single image compression (BPG [7]).”
Wavelets on Graphs via Spectral Graph Theory (2009, neutral): “These expressions will provide an analogue that we will later use to deﬁne the Spectral Graph Wavelet Transform.”
Generative Adversarial Networks for Extreme Learned Image Compression (2018, background): “…systems (e.g. (Theis et al., 2017; Ball´e et al., 2016b; Rippel & Bourdev, 2017; Ball´e et al., 2018; Mentzer et al., 2018)) are often competitive with modern engineered codecs such as WebP (WebP), JPEG2000 (Taubman & Marcellin, 2001) and even BPG(Bellard) (the state-of-the-art engineered codec).”
Network performance evaluation using frame size and quality traces of single-layer and two-layer video: A tutorial (2004, methodology): “(In the optional 4MV mode the above processes are applied to blocks instead of macroblocks.)”
Efficient compression of rearranged time-multiplexed elemental image arrays in MALT-based three-dimensional integral imaging (2011, background): “In addition, as you can see in Table 2, all PSNR values of the DREIAs show more than 38 dB, which confirms that the object images reconstructed from the DREIAs could be sufficiently recognizable with a decent image quality by the human visual system [15].”
JPEG2000: standard for interactive imaging (2002, background): “ments of the DWT, the reader is referred to [2].”
Image Quality Assessment: From Error Measurement to Structural Similarity (2004, background): “In fact, state-of-the-art wavelet image compression techniques achieve their success by exploiting this strong dependency [38]–[41].”
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression (2021, methodology): “Many coding methods [18, 39, 9] succeed in reaching the theoretical codelength, and are widely applied in various compression algorithms [10, 6, 30, 31].”
Distributed Compressive Sensing (2009, neutral): “For example,smoothsignalsaresparseintheFourierbasis,andpiecewisesmoothsignalsaresparse inawaveletbasis[7];thecommercialcodingstandardsMP3[8],JPEG[9],andJPEG2000[10] directlyexploitthissparsity.”
Nonlinear image representation for efficient perceptual coding (2006, methodology): “Similar methods are applied to wavelet image representations such as in JPEG2000 [24].”
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images (2009, background): “Many readers will be familiar with the media encoding standard JPEG and its successor, JPEG-2000 [153].”