Joint Photographic Experts Group - определение. Что такое Joint Photographic Experts Group
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Что (кто) такое Joint Photographic Experts Group - определение

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Joint Photographic Experts Group         
<image, body, file format, standard> (JPEG) The original name of the committee that designed the standard image compression algorithm. JPEG is designed for compressing either full-colour or grey-scale digital images of "natural", real-world scenes. It does not work so well on non-realistic images, such as cartoons or line drawings. JPEG does not handle compression of black-and-white (1 bit-per-pixel) images or moving pictures. Standards for compressing those types of images are being worked on by other committees, named JBIG and MPEG. http://jpeg.org/. Filename extension: .jpg, .jpeg. See also PJPEG. (2000-09-11)
Joint Photographic Experts Group         
The Joint Photographic Experts Group (JPEG) is the joint committee between ISO/IEC JTC 1/SC 29 and ITU-T Study Group 16 that created and maintains the JPEG, JPEG 2000, JPEG XR, JPEG XT, JPEG XS, JPEG XL, and related digital image standards. It also has the responsibility for maintenance of the JBIG and JBIG2 standards that were developed by the former Joint Bi-level Image Experts Group.
Joint Bi-level Image Experts Group         
GROUP OF EXPERTS NOMINATED BY NATIONAL STANDARDS BODIES AND MAJOR COMPANIES TO WORK TO PRODUCE STANDARDS FOR BI-LEVEL IMAGE CODING
Joint Bi-level Image experts Group
The Joint Bi-level Image Experts Group (JBIG) is a group of experts nominated by national standards bodies and major companies to work to produce standards for bi-level image coding. The "joint" refers to its status as a committee working on both ISO and ITU-T standards.
Joint Bi-level Image Experts Group         
GROUP OF EXPERTS NOMINATED BY NATIONAL STANDARDS BODIES AND MAJOR COMPANIES TO WORK TO PRODUCE STANDARDS FOR BI-LEVEL IMAGE CODING
Joint Bi-level Image experts Group
<algorithm> (JBIG) An experts group of ISO, IEC and ITU-T (JTC1/SC2/WG9 and SGVIII) working to define a compression standard for lossless image coding. Their proposed algorithm features compatible progressive coding and sequential coding and is lossless - the image is unaltered after compression and decompression. JBIG can handle images with from one to 255 bits per pixel. Better compression algorithms exist for more than about eight bits per pixel. With multiple bits per pixel, Gray code can be used to reduce the number of bit changes between adjacent decimal values (e.g. 127 and 128), and thus improve the compression which JBIG does on each bitplane. JBIG uses discrete steps of detail by successively doubling the resolution. The sender computes a number of resolution layers and transmits these starting at the lowest resolution. Resolution reduction uses pixels in the high resolution layer and some already computed low resolution pixels as an index into a lookup table. The contents of this table can be specified by the user. Compatibility between progressive and sequential coding is achieved by dividing an image into stripes. Each stripe is a horizontal bar with a user definable height. Each stripe is separately coded and transmitted, and the user can define in which order stripes, resolutions and bitplanes are intermixed in the coded data. A progressively coded image can be decoded sequentially by decoding each stripe, beginning by the one at the top of the image, to its full resolution, and then proceeding to the next stripe. Progressive decoding can be done by decoding only a specific resolution layer from all stripes. After dividing an image into bitplanes, resolution layers and stripes, eventually a number of small bi-level bitmaps are left to compress. Compression is done using a Q-coder. The Q-coder codes bi-level pixels as symbols using the probability of occurrence of these symbols in a certain context. JBIG defines two kinds of context, one for the lowest resolution layer (the base layer), and one for all other layers (differential layers). Differential layer contexts contain pixels in the layer to be coded, and in the corresponding lower resolution layer. For each combination of pixel values in a context, the probability distribution of black and white pixels can be different. In an all white context, the probability of coding a white pixel will be much greater than that of coding a black pixel. The Q-coder, like Huffman coding, achieves compression by assigning more bits to less probable symbols. The Q-coder can, unlike a Huffman coder, assign one output code bit to more than one input symbol, and thus is able to compress bi-level pixels without explicit clustering, as would be necessary using a Huffman coder. [What is "clustering"?] Maximum compression will be achieved when all probabilities (one set for each combination of pixel values in the context) follow the probabilities of the pixels. The Q-coder therefore continuously adapts these probabilities to the symbols it sees. JBIG can be regarded as two combined algorithms: (1) Sending or storing multiple representations of images at different resolutions with no extra storage cost. Differential layer contexts contain pixels in two resolution layers, and so enable the Q-coder to effectively code the difference in information between the two layers, instead of the information contained in every layer. This means that, within a margin of approximately 5%, the number of resolution layers doesn't effect the compression ratio. (2) A very efficient compression algorithm, mainly for use with bi-level images. Compared to CCITT Group 4, JBIG is approximately 10% to 50% better on text and line art, and even better on halftones. JBIG, just like Group 4, gives worse compression in the presence of noise in images. An example application would be browsing through an image database. ["An overview of the basic principles of the Q-coder adaptive binary arithmetic coder", W.B. Pennebaker, J.L. Mitchell, G.G. Langdon, R.B. Arps, IBM Journal of research and development, Vol.32, No.6, November 1988, pp. 771-726]. Joint Bi-level Image Experts Groupluigi/MPEG/jbig.html">http://crs4.it/Joint Bi-level Image Experts Groupluigi/MPEG/jbig.html. (1998-03-29)
India-China Joint Working Group on the boundary question         
FIRST OFFICIAL BILATERAL ADMINISTRATIVE MECHANISM FORMED POST THE 1962 BOUNDARY WAR BY INDIA AND CHINA TO DISCUSS THE BOUNDARY QUESTION WITH THE AIM OF FINDING A SOLUTION
India-China Joint Working Group on the boundary question
The Joint Working Group (JWG) was the first official bilateral administrative mechanism formed post the 1962 boundary war by India and China to discuss the boundary question with the aim of finding a solution. It was officially announced in a joint press communique in Beijing on 23 December 1988.
2d Photographic Reconnaissance Group         
MILITARY UNIT
2d Photographic Group; 2d Reconnaissance Group; 2d Photographic Reconnaissance and Mapping Group; 2nd Photographic Reconnaissance Group
The 2d Reconnaissance Group is an inactive United States Air Force unit. It was last assigned to the Third Air Force, being stationed at Will Rogers Field, Oklahoma.
Joint session         
SESSION WHEN TWO (OR MORE) NORMALLY SEPARATE DELIBERATIVE BODIES MEET FOR A SPECIFIC PURPOSE
Joint convention; Joint sitting
A joint session or joint convention is, most broadly, when two normally separate decision-making groups meet, often in a special session or other extraordinary meeting, for a specific purpose.
PJPEG         
  • Continuously varied JPEG compression (between Q=100 and Q=1) for an [[abdominal]] [[CT scan]]
  • The DCT transforms an 8×8 block of input values to a [[linear combination]] of these 64 patterns. The patterns are referred to as the two-dimensional DCT ''basis functions'', and the output values are referred to as ''transform coefficients''. The horizontal index is <math>u</math> and the vertical index is <math>v</math>.
  • Zigzag ordering of JPEG image components
  • 120px
  • 120px
  • 120px
  • 120px
  • 120px
  • The 8×8 sub-image shown in 8-bit grayscale
  • ''Baseline sequential'' JPEG encoding and decoding processes
  • An example of a stereoscopic .JPS file
  • The compressed 8×8 squares are visible in the scaled-up picture, together with other visual artifacts of the [[lossy compression]].
  • The original image
  • This image shows the pixels that are different between a non-compressed image and the same image JPEG compressed with a quality setting of 50. Darker means a larger difference. Note especially the changes occurring near sharp edges and having a block-like shape.
  • 100px
  • 100px
  • 100px
  • 100px
  • Visual impact of a jpeg compression on Photoshop on a picture of 4480x4480 pixels
CONFLATION OF MULTIPLE TOPICS INCLUDING COMPRESSION ALGORITHMS, VARIOUS FILE FORMATS, STANDARDS/TECHNICAL SPECIFICATIONS AND A NON-PROFIT ORGANISATION
JPG; Jpeg; Jpg; JPEG file format; .JPEG; .JPG; .jpg; JPEG Image; .jpeg; .jpe; Interlaced JPEG; JPE file; PJPEG; JPIG; Jaypeg; Image/jpeg; Minimum Coded Unit; ISO 10918-1; JPEG Interchange Format; Minimum coded unit; JPEG encoding; JPEG file; JPG file; JPEG image; T.81; Data compression/JPEG; .mpo; JPEG Stereo; Progressive JPEG; PJPG; P JPG; Multi-Picture Format; .jps; JPEG Stereoscopic; Still Picture Interchange File Format; .jif; JPEG film; JPEG format; JPEG compression; JPEG photo; JPEG picture; JPEG photograph; JPEG pic; JPEG pix; .pjp; .pjpeg; .jfi; .JFI; .PJPEG; .PJP; .JPE; .JIF; JPEG 1; JPEG-1; T.83; T.84; T.86; T.872; T.873
Synarthrosis         
TYPE OF JOINT WHICH PERMITS VERY LITTLE OR NO MOVEMENT UNDER NORMAL CONDITIONS
Synarthroses; Synarthrodial; Fixed joint; Fixed joints; Immovable joint; Immovable joints
A synarthrosis is a type of joint which allows no movement under normal conditions. Sutures and gomphoses are both synarthroses.
synarthrosis         
TYPE OF JOINT WHICH PERMITS VERY LITTLE OR NO MOVEMENT UNDER NORMAL CONDITIONS
Synarthroses; Synarthrodial; Fixed joint; Fixed joints; Immovable joint; Immovable joints
[?s?n?:'?r??s?s]
¦ noun (plural synarthroses -si:z) Anatomy an immovable joint between bones connected by fibrous tissue (e.g. the sutures of the skull).
Origin
C16: from mod. L., from Gk sunarthrosis, from sun- 'together' + arthrosis 'jointing' (from arthron 'joint').

Википедия

Joint Photographic Experts Group
The Joint Photographic Experts Group (JPEG) is the joint committee between ISO/IEC JTC 1/SC 29 and ITU-T Study Group 16 that created and maintains the JPEG, JPEG 2000, JPEG XR, JPEG XT, JPEG XS, JPEG XL, and related digital image standards. It also has the responsibility for maintenance of the JBIG and JBIG2 standards that were developed by the former Joint Bi-level Image Experts Group.