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Pyramid (image processing)

Index Pyramid (image processing)

Pyramid, or pyramid representation, is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities, in which a signal or an image is subject to repeated smoothing and subsampling. [1]

36 relations: Adam7 algorithm, Band-pass filter, Bilateral filter, Binomial coefficient, California Institute of Technology, Central processing unit, Computer vision, Convolution, Decimation (signal processing), Digital image processing, Eero Simoncelli, Feature detection (computer vision), Gaussian blur, Gaussian filter, Gaussian function, Image compression, Institute of Electrical and Electronics Engineers, Interlacing (bitmaps), Kernel (image processing), Knowledge representation and reasoning, Lecture Notes in Computer Science, Level of detail, Mipmap, Multi-scale approaches, Multiresolution analysis, Outline of object recognition, Scale model, Scale space, Scale space implementation, Signal, Signal processing, Smoothing, Steerable filter, Texture synthesis, University of Padua, Upsampling.

Adam7 algorithm

Adam7 is an interlacing algorithm for raster images, best known as the interlacing scheme optionally used in PNG images.

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Band-pass filter

A band-pass filter, also bandpass filter or BPF, is a device that passes frequencies within a certain range and rejects (attenuates) frequencies outside that range.

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Bilateral filter

A bilateral filter is a non-linear, edge-preserving, and noise-reducing smoothing filter for images.

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Binomial coefficient

In mathematics, any of the positive integers that occurs as a coefficient in the binomial theorem is a binomial coefficient.

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California Institute of Technology

The California Institute of Technology (abbreviated Caltech)The university itself only spells its short form as "Caltech"; other spellings such as.

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Central processing unit

A central processing unit (CPU) is the electronic circuitry within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logical, control and input/output (I/O) operations specified by the instructions.

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Computer vision

Computer vision is a field that deals with how computers can be made for gaining high-level understanding from digital images or videos.

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Convolution

In mathematics (and, in particular, functional analysis) convolution is a mathematical operation on two functions (f and g) to produce a third function, that is typically viewed as a modified version of one of the original functions, giving the integral of the pointwise multiplication of the two functions as a function of the amount that one of the original functions is translated.

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Decimation (signal processing)

In digital signal processing, decimation is the process of reducing the sampling rate of a signal.

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Digital image processing

In computer science, Digital image processing is the use of computer algorithms to perform image processing on digital images.

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Eero Simoncelli

Eero Simoncelli is an American computational neuroscientist and Silver Professor at New York University.

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Feature detection (computer vision)

In computer vision and image processing feature detection includes methods for computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not.

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Gaussian blur

In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss).

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Gaussian filter

In electronics and signal processing, a Gaussian filter is a filter whose impulse response is a Gaussian function (or an approximation to it).

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Gaussian function

In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the form: for arbitrary real constants, and.

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Image compression

Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission.

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Institute of Electrical and Electronics Engineers

The Institute of Electrical and Electronics Engineers (IEEE) is a professional association with its corporate office in New York City and its operations center in Piscataway, New Jersey.

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Interlacing (bitmaps)

Interlacing (also known as interleaving) is a method of encoding a bitmap image such that a person who has partially received it sees a degraded copy of the entire image.

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Kernel (image processing)

In image processing, a kernel, convolution matrix, or mask is a small matrix.

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Knowledge representation and reasoning

Knowledge representation and reasoning (KR, KR², KR&R) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language.

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Lecture Notes in Computer Science

Springer Lecture Notes in Computer Science (LNCS) is a series of computer science books published by Springer Science+Business Media (formerly Springer-Verlag) since 1973.

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Level of detail

In computer graphics, accounting for Level of detail involves decreasing the complexity of a 3D model representation as it moves away from the viewer or according to other metrics such as object importance, viewpoint-relative speed or position.

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Mipmap

In computer graphics, mipmaps (also MIP maps) or pyramids are pre-calculated, optimized sequences of images, each of which is a progressively lower resolution representation of the same image.

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Multi-scale approaches

The scale space representation of a signal obtained by Gaussian smoothing satisfies a number of special properties, scale-space axioms, which make it into a special form of multi-scale representation.

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Multiresolution analysis

A multiresolution analysis (MRA) or multiscale approximation (MSA) is the design method of most of the practically relevant discrete wavelet transforms (DWT) and the justification for the algorithm of the fast wavelet transform (FWT).

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Outline of object recognition

The following outline is provided as an overview of and topical guide to object recognition: Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence.

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Scale model

A scale model is most generally a physical representation of an object, which maintains accurate relationships between all important aspects of the model, although absolute values of the original properties need not be preserved.

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Scale space

Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision.

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Scale space implementation

The linear scale-space representation of an N-dimensional continuous signal, is obtained by convolving fC with an N-dimensional Gaussian kernel: In other words: However, for implementation, this definition is impractical, since it is continuous.

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Signal

A signal as referred to in communication systems, signal processing, and electrical engineering is a function that "conveys information about the behavior or attributes of some phenomenon".

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Signal processing

Signal processing concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying "information about the behavior or attributes of some phenomenon", such as sound, images, and biological measurements.

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Smoothing

In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena.

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Steerable filter

In applied mathematics, a steerable filter is an orientation-selective convolution kernel used for image enhancement and feature extraction that can be expressed via a linear combination of a small set of rotated versions of itself.

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Texture synthesis

Texture synthesis is the process of algorithmically constructing a large digital image from a small digital sample image by taking advantage of its structural content.

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University of Padua

The University of Padua (Università degli Studi di Padova, UNIPD) is a premier Italian university located in the city of Padua, Italy.

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Upsampling

In digital signal processing, upsampling can refer to the entire process of increasing the sampling rate of a signal, or it can refer to just one step of the process, the other step being interpolation.

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Redirects here:

Gaussian Pyramid, Gaussian pyramid, Image pyramid, Laplacian pyramid, Pyramids, image processing, Steerable pyramid.

References

[1] https://en.wikipedia.org/wiki/Pyramid_(image_processing)

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