A system, method, and apparatus for implementing a plurality of dispersed data storage networks using a set of slice servers are disclosed. A plurality of information records are maintained, with each information record corresponding to a dispersed data storage network. The information record maintains what slice servers are used to implement the dispersed data storage network, as well as other information needed to administer a DDSN, such as the information dispersal algorithm used, how data is stored, and whether data is compressed or encrypted.

Virtualized data storage vaults on a dispersed data storage network

In 1996, the JPEGcommittee began to investigate possibilities for a new still image compression standard to serve current and future applications. This initiative, which was named JPEG2000, has resulted in a comprehensive standard (ISO 154447ITU-T Recommendation T.800) that is being issued in six parts. Part 1, in the same vein as the JPEG baseline system, is aimed at minimal complexity and maximal interchange and was issued as an International Standard at the end of 2000. Parts 2–6 define extensions to both the compression technology and the file format and are currently in various stages of development. In this paper, a technical description of Part 1 of the JPEG2000 standard is provided, and the rationale behind the selected technologies is explained. Although the JPEG2000 standard only specifies the decoder and the codesteam syntax, the discussion will span both encoder and decoder issues to provide a better understanding of the standard in various applications. r 2002 Elsevier Science B.V. All rights reserved.

An overview of the JPEG2000 still image compression standard

In 1996, the JPEG committee began to investigate possibilities for a new still image compression standard to serve current and future applications. This initiative, which was named JPEG 2000, has resulted in a comprehensive standard (ISO 15444∣ITU-T Recommendation T.800) that is being issued in six parts. Part 1, in the same vein as the JPEG baseline system, is aimed at minimal complexity and maximal interchange and was issued as an International Standard at the end of 2000. Parts 2–6 define extensions to both the compression technology and the file format and are currently in various stages of development. In this paper, a technical description of Part 1 of the JPEG 2000 standard is provided, and the rationale behind the selected technologies is explained. Although the JPEG 2000 standard only specifies the decoder and the codesteam syntax, the discussion will span both encoder and decoder issues to provide a better understanding of the standard in various applications.

/pdf/an-overview-of-the-jpeg-2000-still-image-compression-4u4wpl2a46.pdf

An overview of the JPEG 2000 still image compression standard

We present a full- and no-reference blur metric as well as a full-reference ringing metric. These metrics are based on an analysis of the edges and adjacent regions in an image and have very low computational complexity. As blur and ringing are typical artifacts of wavelet compression, the metrics are then applied to JPEG2000 coded images. Their perceptual significance is corroborated through a number of subjective experiments. The results show that the proposed metrics perform well over a wide range of image content and distortion levels. Potential applications include source coding optimization and network resource management.

/pdf/perceptual-blur-and-ringing-metrics-application-to-jpeg2000-3itkd7dn2q.pdf

Perceptual Blur and Ringing Metrics: Application to JPEG2000

This landmark book is the first to describe HDRI technology in its entirety and covers a wide-range of topics, from capture devices to tone reproduction and image-based lighting. The techniques described enable you to produce images that have a dynamic range much closer to that found in the real world, leading to an unparalleled visual experience. As both an introduction to the field and an authoritative technical reference, it is essential to anyone working with images, whether in computer graphics, film, video, photography, or lighting design.



New material includes chapters on High Dynamic Range Video Encoding, High Dynamic Range Image Encoding, and High Dynammic Range Display Devices
Written by the inventors and initial implementors of High Dynamic Range Imaging
Covers the basic concepts (including just enough about human vision to explain why HDR images are necessary), image capture, image encoding, file formats, display techniques, tone mapping for lower dynamic range display, and the use of HDR images and calculations in 3D rendering
Range and depth of coverage is good for the knowledgeable researcher as well as those who are just starting to learn about High Dynamic Range imaging


Table of Contents

Introduction; Light and Color; HDR Image Encodings; HDR Video Encodings; HDR Image and Video Capture; Display Devices; The Human Visual System and HDR Tone Mapping; Spatial Tone Reproduction; Frequency Domain and Gradient Domain Tone Reproduction; Inverse Tone Reproduction; Visible Difference Predictors; Image-Based Lighting.

High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)

A method for simultaneously recording motion and still images, includes the steps of: capturing a motion image sequence and accompanying audio of a scene with a digital video camera adapted to record both motion and higher resolution still images; simultaneously capturing a still image sequence having a higher resolution and lower frame rate than the motion capture sequence; compressing the motion image sequence using interframe compression and the accompanying audio and storing the compressed motion image and audio data; and compressing the still images using intraframe coding and storing the compressed still image data.

Digital camera for capturing a sequence of full and reduced resolution digital images and storing motion and still digital image data

A digital image processing method reduces noise and blocking artifacts in a digital image by first converting the RGB values of the digital image pixels to Y, Cb and Cr components, then detecting the block boundaries in the Y, Cb and Cr image components, and estimating the noise in the Y, Cb and Cr image components. One or more noise tables are constructed for the Y, Cb and Cr image components. An adaptive Huber-Markov-random-field-model-based filter (HMRF) is applied to the Y, Cb and Cr image components, wherein the adaptive feature of the HMRF employs the detected block boundaries and the noise tables to produce filtered Y, Cb and Cr image components. Finally, the filtered Y, Cb and Cr image components are converted to RGB components.

Image processing method for reducing noise and blocking artifact in a digital image

A method for producing a compressed digital image from an input digital image is disclosed, wherein the compressed digital image is organized into layers corresponding to increasing visual quality levels. The input digital image is decomposed to produce a plurality of subbands, each subband having a plurality of subband coefficients. The plurality of subband coefficients of each subband of the decomposed input digital image are quantized to produce a quantized output value for each subband coefficient of each subband. At least one bit-plane is formed from the quantized output values of the subband coefficients of each subband. Each bit-plane of each subband in at least one pass is entropy encoded to produce a compressed bit-stream corresponding to each pass, wherein each subband is entropy encoded independently of the other subbands. A visual significance value is computed for each pass, and a visual quality table is provided that specifies a number of expected visual quality levels and corresponding visual significance values. For each expected visual quality level, a minimal set of passes and their compressed bit-streams that are necessary to achieve the corresponding visual significance value are identified. The compressed bit-streams corresponding to passes are then ordered into layers from the lowest expected visual quality level to the highest expected visual quality level specified in the visual quality table to produce a compressed digital image, wherein each layer includes the passes and their corresponding compressed bit-streams from the identified minimal set corresponding to the expected visual quality level that have not been included in any lower visual quality layers.

Producing a compressed digital image organized into layers corresponding to increasing visual quality levels and providing rate-control of such compressed digital image

Rajan L. Joshi

Papers

An overview of the JPEG2000 still image compression standard

An overview of the JPEG 2000 still image compression standard

Digital camera for capturing a sequence of full and reduced resolution digital images and storing motion and still digital image data

Image processing method for reducing noise and blocking artifact in a digital image

Producing a compressed digital image organized into layers corresponding to increasing visual quality levels and providing rate-control of such compressed digital image