Abstract : This paper presents a lossless image coding approach that produces an embedded bit−stream optimized for L−infinity−constrained decoding. The decoder is implementable using only integer arithmetic and is able to deduce from the bit−stream the L−infinity error that affects the reconstructed image at an arbitrary point of decoding. The lossless coding performance is compared with JPEG−L...

We present a new method for lossless image compression that gives compression comparable to JPEG lossless mode with about ve times the speed. Our method, called FELICS, is based on a novel use of two neighboring pixels for both prediction and error modeling. For coding we use single bits, adjusted binary codes, and Golomb or Rice codes. For the latter we present and analyze a provably good meth...

lossless image compression, standards LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. The algorithm, presented at DCC'96, was conceived as a “low complexity projection” of the universal context modeling paradigm, matching its modeling unit to a simple c...

This paper deals with a coding problem called complementary delivery, where messages from two correlated sources are jointly encoded and each decoder reproduces one of two messages using the other message as the side information. Both lossless and lossy universal complementary delivery coding schemes are investigated. In the lossless case, it is demonstrated that a universal complementary deliv...

This paper presents a novel lossless compression technique of the context-based adaptive arithmetic coding which can be used to further compress the quantized parameters in audio codec. The key feature of the new technique is the combination of the context model in time domain and frequency domain which is called time-frequency context model. It is used for the lossless compression of audio cod...

This paper proposes an object-based, highly scalable, lossy-to-lossless coding approach for magnetic resonance (MR) images. The proposed approach, called OBHS-SPIHT, is based on the well known set partitioning in hierarchical trees (SPIHT) algorithm and supports both quality and resolution scalability. It progressively encodes each slice of the MR data set separately in a multiresolution fashio...

This paper presents a simple, fast coding technique for lossless compression of mosaic video data. The design of a video codec needs to strike a balance between the compression performance and the codec throughput. Aiming to make the encoding throughput high enough for real-time lossless video compression, we propose a hybrid scheme of inter and intraframe coding. Interframe predictive coding i...

This article explains the technologies and applications of lossless audio coding. NTT started research on lossless coding of audio signals and proposed the initiation of international standardization in 2002, aiming at high-quality services suitable for broadband networks. As a result of cooperative work with other organizations, the specifications of this technology were officially incorporate...

A hybrid lossy/lossless audio coding is presented in this paper. The lossy coding part is based on code excitation approach where the excitation gain is adapted in a sample-by-sample fashion. Two short term predictors are used to cope with rapid time-varying nature of audio signals. The error signal between the input and the synthetic signal is sent to the decoder after arithmetic coding to ach...

Hospital and clinical environments are moving towards computerisation, digitisation and centralisation, resulting in prohibitive amounts of digital medical image data. Compression techniques are, therefore, essential in archival and communication of medical image. Although lossy compression yields much higher compression rates, the medical community has relied on lossless compression for legal ...