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Encyclopedia > Image compression

Image compression is the application of Data compression on digital images. In effect, the objective is to reduce redundancy of the image data in order to be able to store or transmit data in an efficient form. In computer science and information theory, data compression or source coding is the process of encoding information using fewer bits (or other information-bearing units) than an unencoded representation would use through use of specific encoding schemes. ... A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels. ... Data transmission is the conveyance of any kind of information from one space to another. ...


Image compression can be lossy or lossless. Lossless compression is sometimes preferred for artificial images such as technical drawings, icons or comics. This is because lossy compression methods, especially when used at low bit rates, introduce compression artifacts. Lossless compression methods may also be preferred for high value content, such as medical imagery or image scans made for archival purposes. Lossy methods are especially suitable for natural images such as photos in applications where minor (sometimes imperceptible) loss of fidelity is acceptable to achieve a substantial reduction in bit rate. Original Image (lossless PNG, 60. ... Lossless data compression is a class of data compression algorithms that allow the original data to be reconstructed exactly from the compressed data. ... In telecommunications and computing, bit rate (sometimes written bitrate) is the frequency at which bits are passing a given (physical or metaphorical) point. It is quantified using the bit per second (bit/s) unit. ... A compression artifact (or artefact) is the result of an aggressive data compression scheme applied to an image, audio, or video that discards some data which is determined by an algorithm to be of lesser importance to the overall content but which is nonetheless discernible and objectionable to the user. ...


Methods for lossless image compression are:

Methods for lossy compression: Run-length encoding (RLE) is a very simple form of data compression in which runs of data (that is, sequences in which the same data value occurs in many consecutive data elements) are stored as a single data value and count, rather than as the original run. ... PCX is an image file format that uses a simple form of run-length encoding (a type of lossless compression algorithm). ... BMP is an abbreviation for: Basic Multilingual Plane, the 16-bit base of the Unicode character set. ... TGA may refer to: Truevision TGA Thermogravimetric Analysis Transposition of the Great Arteries Categories: | ... This article is about TIFF, the computer image format. ... An entropy encoding is a coding scheme that assigns codes to symbols so as to match code lengths with the probabilities of the symbols. ... LZW (Lempel-Ziv-Welch) is an implementation of a lossless data compression algorithm created by Abraham Lempel and Jacob Ziv. ... An example of a GIF image. ... This article is about TIFF, the computer image format. ... DEFLATE is a lossless data compression algorithm that uses a combination of the LZ77 algorithm and Huffman coding. ... PNG (Portable Network Graphics) is a bitmapped image format that employs lossless data compression. ... Multiple-image Network Graphics (MNG) (IPA pronunciation: ) is a public graphics file format for animated images. ... This article is about TIFF, the computer image format. ...

  • Reducing the color space to the most common colors in the image. The selected colors are specified in the color palette in the header of the compressed image. Each pixel just references the index of a color in the color palette. This method can be combined with dithering to avoid posterization.
  • Chroma subsampling. This takes advantage of the fact that the eye perceives brightness more sharply than color, by dropping half or more of the chrominance information in the image.
  • Transform coding. This is the most commonly used method. A Fourier-related transform such as DCT or the wavelet transform are applied, followed by quantization and entropy coding.
  • Fractal compression.

The best image quality at a given bit-rate (or compression rate) is the main goal of image compression. However, there are other important properties of image compression schemes: A color model is an abstract mathematical model describing the way colors can be represented as tuples of numbers, typically as three or four values or color components (e. ... This article or section should be merged with Dither An illustration of dithering. ... An example of a photo in JPEG format (24bit colour or 16. ... In digital image processing, chroma subsampling is the use of lower resolution for the colour (chroma) information in an image than for the brightness (intensity or luma) information. ... Transform coding is a type of data compression for natural data like audio signals or photographic images. ... This is a list of linear transformations of functions related to the Fourier transform. ... 2-D DCT compared to the DFT The discrete cosine transform (DCT) is a Fourier-related transform similar to the discrete Fourier transform (DFT), but using only real numbers. ... The wavelet transform is a transformation to basis functions that are localized in scale and in time as well (where the Fourier transform is only localized in frequency, never giving any information about where in space or time the frequency happens). ... Generally, quantization is the state of being constrained to a set of discrete values, rather than varying continuously. ... An entropy encoding is a coding scheme that assigns codes to symbols so as to match code lengths with the probabilities of the symbols. ... Fractal compression is a lossy compression method used to compress images using fractals. ... In telecommunications and computing, bit rate (sometimes written bitrate or Rbit) is the number of bits that are conveyed or processed per unit of time. ...


Scalability generally refers to a quality reduction achieved by manipulation of the bitstream or file (without decompression and re-compression). Other names for scalability are progressive coding or embedded bitstreams. Despite its contrary nature, scalability can also be found in lossless codecs, usually in form of coarse-to-fine pixel scans. Scalability is especially useful for previewing images while downloading them (e.g. in a web browser) or for providing variable quality access to e.g. databases. There are several types of scalability:

  • Quality progressive or layer progressive: The bitstream successively refines the reconstructed image.
  • Resolution progressive: First encode a lower image resolution; then encode the difference to higher resolutions.
  • Component progressive: First encode grey; then color.

Region of interest coding. Certain parts of the image are encoded with higher quality than others. This can be combined with scalability (encode these parts first, others later).


Meta information. Compressed data can contain information about the image which can be used to categorize, search or browse images. Such information can include color and texture statistics, small preview images and author/copyright information. In computing, a preview may be where output of a particular document, page, film, etc. ...


Processing power. Compression algorithms require different amounts of processing power to encode and decode. Some high compression algorithms require high processing power. The clock rate is the fundamental rate in cycles per second, measured in hertz, at which a computer performs its most basic operations such as adding two numbers or transferring a value from one processor register to another. ...


The quality of a compression method is often measured by the Peak signal-to-noise ratio. It measures the amount of noise introduced through a lossy compression of the image. However, the subjective judgement of the viewer is also regarded as an important, perhaps the most important measure. The phrase peak signal-to-noise ratio, often abbreviated PSNR, is an engineering term for the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation. ...


See also

See also Category:Graphics file formats Here is a summary of the most common graphics file formats: Some file formats, e. ... Digital signal processing (DSP) is the study of signals in a digital representation and the processing methods of these signals. ... UPIICSA IPN - Binary image Image processing is any form of information processing for which the input is an image, such as photographs or frames of video; the output is not necessarily an image, but can be for instance a set of features of the image. ... Computer graphics is a sub-field of computer science and is concerned with digitally synthesizing and manipulating visual content. ... Image of Lena Söderberg famously used in many image processing experiments. ... In order to intuitively test the effects of an image-processing algorithm on a natural picture a number of test images are in common use in the image-processing field. ... The phrase peak signal-to-noise ratio, often abbreviated PSNR, is an engineering term for the ratio between the maximum value of a signal and the magnitude of background noise. ... The Structural SIMilarity (SSIM) index is a method for measuring the similarity between two images. ...

External links

  • MIT Linear Algebra Lecture on Image Compression at Google Video, from MIT OpenCourseWare
  • [1] image compression

  Results from FactBites:
 
Image compression - Wikipedia, the free encyclopedia (482 words)
Image compression is the application of data compression on digital images.
In effect, the objective is to reduce redundancy of the image data in order to be able to store or transmit data in an efficient form.
The quality of a compression method is often measured by the Peak signal-to-noise ratio.
  More results at FactBites »


 

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