575 research outputs found
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
Lossless and near-lossless image compression is of paramount importance to
professional users in many technical fields, such as medicine, remote sensing,
precision engineering and scientific research. But despite rapidly growing
research interests in learning-based image compression, no published method
offers both lossless and near-lossless modes. In this paper, we propose a
unified and powerful deep lossy plus residual (DLPR) coding framework for both
lossless and near-lossless image compression. In the lossless mode, the DLPR
coding system first performs lossy compression and then lossless coding of
residuals. We solve the joint lossy and residual compression problem in the
approach of VAEs, and add autoregressive context modeling of the residuals to
enhance lossless compression performance. In the near-lossless mode, we
quantize the original residuals to satisfy a given error bound,
and propose a scalable near-lossless compression scheme that works for variable
bounds instead of training multiple networks. To expedite the
DLPR coding, we increase the degree of algorithm parallelization by a novel
design of coding context, and accelerate the entropy coding with adaptive
residual interval. Experimental results demonstrate that the DLPR coding system
achieves both the state-of-the-art lossless and near-lossless image compression
performance with competitive coding speed.Comment: manuscript accepted by TPAMI, source
code:https://github.com/BYchao100/Deep-Lossy-Plus-Residual-Codin
Implementation issues in source coding
An edge preserving image coding scheme which can be operated in both a lossy and a lossless manner was developed. The technique is an extension of the lossless encoding algorithm developed for the Mars observer spectral data. It can also be viewed as a modification of the DPCM algorithm. A packet video simulator was also developed from an existing modified packet network simulator. The coding scheme for this system is a modification of the mixture block coding (MBC) scheme described in the last report. Coding algorithms for packet video were also investigated
The JPEG2000 still image compression standard
The development of standards (emerging and established) by the International Organization for Standardization (ISO), the International Telecommunications Union (ITU), and the International Electrotechnical Commission (IEC) for audio, image, and video, for both transmission and storage, has led to worldwide activity in developing hardware and software systems and products applicable to a number of diverse disciplines [7], [22], [23], [55], [56], [73]. Although the standards implicitly address the basic encoding operations, there is freedom and flexibility in the actual design and development of devices. This is because only the syntax and semantics of the bit stream for decoding are specified by standards, their main objective being the compatibility and interoperability among the systems (hardware/software) manufactured by different companies. There is, thus, much room for innovation and ingenuity. Since the mid 1980s, members from both the ITU and the ISO have been working together to establish a joint international standard for the compression of grayscale and color still images. This effort has been known as JPEG, the Join
Consolidating Literature for Images Compression and Its Techniques
With the proliferation of readily available image content, image compression has become a topic of considerable importance. As, rapidly increase of digital imaging demand, storage capability aspect should be considered. Therefore, image compression refers to reducing the size of image for minimizing storage without harming the image quality. Thus, an appropriate technique is needed for image compression for saving capacity as well as not losing valuable information. This paper consolidates literature whose characteristics have focused on image compression, thresholding algorithms, quantization algorithms. Later, related research on these areas are presented
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