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Soren Forchhammer

Researcher at Technical University of Denmark

Publications -  299
Citations -  3466

Soren Forchhammer is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Data compression & Video quality. The author has an hindex of 27, co-authored 282 publications receiving 3022 citations. Previous affiliations of Soren Forchhammer include University of Copenhagen.

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The emerging JBIG2 standard

TL;DR: The Joint Bi-Level Image Experts Group (JBIG), an international study group affiliated with ISO/IEC and ITU-T, is in the process of drafting a new standard for lossy and lossless compression of bilevel images, informally referred to as JBIG2, which will support model-based coding for text and halftones to permit compression ratios up to three times those of existing standards for Lossless compression.
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Constellation Shaping for Fiber-Optic Channels With QAM and High Spectral Efficiency

TL;DR: The simulations suggest that major improvements can be expected in the achievable rates of optical networks with high-order QAM, and a mapping function for turbo-coded bit-interleaved coded modulation is proposed based on optimization of the mutual information between the channel input and output.
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Constellation Shaping for WDM systems using 256QAM/1024QAM with Probabilistic Optimization

TL;DR: In this paper, a probabilistic shaping method for increasing the transmission reach of a WDM optical communication system employing quadrature amplitude modulation (QAM) was proposed. But the performance of the proposed 1024QAM shaped system is validated on all 5 channels of the WDM signal for selected distances and rates.
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Constellation Shaping for WDM Systems Using 256QAM/1024QAM With Probabilistic Optimization

TL;DR: It is shown via EXIT charts and BER analysis that iterative demapping, while generally beneficial to the system, is not a requirement for achieving the shaping gain, and that rate adaptation does not require changing of the modulation format.
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Edge-based compression of cartoon-like images with homogeneous diffusion

TL;DR: It is shown that for cartoon-like images this codec can outperform the JPEG standard and even its more advanced successor JPEG2000 and be able to encode and decode in real time.