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Lossy compression technique
Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value
Quantization (image processing)
Quantization_(image_processing)
Topics referred to by the same term
The term quantization may refer to: Quantization (signal processing), in mathematics and digital signal processing Quantization (image processing) Color
Quantization
Image processing technique
computer graphics, color quantization or color image quantization is quantization applied to color spaces; it is a process that reduces the number of
Color_quantization
Process of mapping a continuous set to a countable set
typical examples of quantization processes. Quantization is involved to some degree in nearly all digital signal processing, as the process of representing
Quantization (signal processing)
Quantization_(signal_processing)
Partitioning a digital image into segments
Image-based meshing Range image segmentation Vector quantization – Classical quantization technique from signal processing Image quantization – Lossy compression
Image_segmentation
Noise that reduces quantization error
to randomize quantization error, preventing large-scale patterns such as color banding in images. Dither is routinely used in processing of both digital
Dither
Algorithmic processing of digitally-represented images
Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal
Digital_image_processing
Ratio of the desired signal to the background noise
possible noise level is the error caused by the quantization of the signal, sometimes called quantization noise. This noise level is non-linear and signal-dependent;
Signal-to-noise_ratio
Classical quantization technique from signal processing
Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the
Vector_quantization
Type of machine learning model
preserving most of its performance. Quantization can be further classified as static quantization if the quantization parameters are determined beforehand
Large_language_model
Mathematical signal manipulation by computers
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide
Digital_signal_processing
Reduction of image size to save storage and transmission costs
followed by quantization and entropy coding. Color quantization - Reducing the color space to a few "representative" colors in the image. The selected
Image_compression
File format used in digital photography
or Foveon X3 sensors. Cameras and image processing software may also perform additional processing to improve image quality, for example: removal of systematic
Raw_image_format
AI accelerator ASIC by Google
Tensor Processing Unit (TPU) is a neural processing unit (NPU) application-specific integrated circuit (ASIC) developed by Google for neural network machine
Tensor_Processing_Unit
Free and open-source image manipulation software
colors represented in an image. The difference between this and standard color quantization is that while in standard quantization the final palette is selected
ImageMagick
Measurement of a signal at discrete time intervals
expensive, aperture error, quantization error and aliasing can be significant limitations. Jitter, noise, and quantization are often analyzed by modeling
Sampling_(signal_processing)
Data structure in computer science
results of octree color quantization. The first image is the original (532818 distinct colors), while the second is the quantized image (184 distinct colors)
Octree
Technique for the generative modeling of a continuous probability distribution
"Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise". Advances in Neural Information Processing Systems. 36: 41259–41282. arXiv:2208.09392
Diffusion_model
Computer color depth
color 24-bit image into an 8-bit image, the image must go through a process called color quantization. Color quantization is the process of creating a
8-bit_color
Visible interference in an image
noise. The noise caused by quantizing the pixels of a sensed image to a number of discrete levels is known as quantization noise. It has an approximately
Image_noise
Field of electrical engineering
for digital signal processing, without taking quantization error into consideration. Digital signal processing is the processing of digitized discrete-time
Signal_processing
Number of bits of information recorded for each digital audio sample
determined by quantization error. The bit depth has no impact on the frequency response, which is constrained by the sample rate. Quantization error introduced
Audio_bit_depth
Video compression format
QuickTime Xvid High Efficiency Video Coding Advanced Video Coding Quantization (image processing) FourCC MP3 ISO/IEC JTC 1/SC 29 ISO. "ISO/IEC 14496-2:2004 -
MPEG-4_Part_2
Audio performance differences between technologies
uncorrelated quantization noise through the use of dither. The magnitude of this noise or distortion is determined by the number of quantization levels. In
Comparison of analog and digital recording
Comparison_of_analog_and_digital_recording
Figure of merit for analog-to-digital conversion
The quantization error of a signal is the difference between the original continuous value and its discretization, and the mean square quantization error
Mean square quantization error
Mean_square_quantization_error
Formulation to quantize gauge field theories in physics
relatively rigorous mathematical approach to quantizing a field theory with a gauge symmetry. Quantization rules in earlier quantum field theory (QFT)
BRST_quantization
Vector quantization algorithm minimizing the sum of squared deviations
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which
K-means_clustering
Multisampling computer graphics technique
distinct coverage levels (0 to 4 samples), which can lead to Quantization (image processing) artifacts. Spatial anti-aliasing Multisample anti-aliasing
Alpha_to_coverage
Digital signal performance enhancement
used in digital audio, image, and video processing, usually in combination with dithering, as part of the process of quantization or bit-depth reduction
Noise_shaping
Flaws caused by insufficient color depth
time stretching, which adds frames. Downsampling Quantization error Discretization error Color quantization Level-set method Chao, Cheng-Kang Ted (15 July
Posterization
System that converts an analog signal into a digital signal
signal. The conversion involves quantization of the input, so it necessarily introduces a small amount of quantization error. Furthermore, instead of continuously
Analog-to-digital_converter
Device that optically scans images, printed text
plates etched with an image from a film negative projected at five different exposure levels to correspond to five quantization levels. All five plates
Image_scanner
Varying physical quantity that conveys information
multiple subject fields, including signal processing, information theory and biology. In signal processing, a signal is a function that conveys information
Signal
Scanned Documents Database for Digital Image Forensics Purposes". 2020 IEEE International Conference on Image Processing (ICIP). IEEE. pp. 2096–2100. doi:10
List of datasets in computer vision and image processing
List_of_datasets_in_computer_vision_and_image_processing
In signal processing, unwanted modifications to a signal
measure of noise by comparing to PCM quantization noise Almost every technique and device for signal processing has some connection to noise. Some random
Noise_(signal_processing)
Method for converting signals between digital and analog
feedback loop during quantization to the lower bit depth that continuously corrects quantization errors and moves quantization noise to higher frequencies
Delta-sigma_modulation
Continuous progression from past to future
acceleration of the observer. Time quantization refers to the theory that time has a smallest possible unit. Time quantization is a hypothetical concept. In
Time
Software library for similarity search
following families of vector quantization methods are supported: Binary Quantization Scalar Quantization (SQ) Product Quantization (PQ), including Polysemous
FAISS
Mapping between functions in the quantum phase space
Weyl quantization. It is now understood that Weyl quantization does not satisfy all the properties one would require for consistent quantization and therefore
Wigner–Weyl_transform
dimension. Median cut is typically used for color quantization. For example, to reduce a 64k-colour image to 256 colours, median cut is used to find 256
Median_cut
Data pre-processing technique
median).[citation needed] It is related to quantization: data binning operates on the abscissa axis while quantization operates on the ordinate axis. Binning
Data_binning
Conversion of raster graphics into vector graphics
256), the image is reduced to using that many colors (this step is color quantization), and then the vectorization is done on the reduced image. For continuous
Image_tracing
Distortion of media caused by lossy data compression
after reconstruction. Because this quantization process is applied individually in each block, neighboring blocks quantize coefficients differently. This
Compression_artifact
Pictures encoded as binary data
columns of pixels. Pixels are the smallest individual element in an image, holding quantized values that represent the brightness of a given color at any specific
Digital_image
Compact encoding of digital data
vector quantization S2TC S3 Texture Compression Set partitioning in hierarchical trees Sub-band coding Transform coding TurboQuant Vector quantization Wavelet
Data_compression
Image dithering algorithm
The algorithm scans the image from left to right, top to bottom, quantizing pixel values one by one. Each time, the quantization error is transferred to
Floyd–Steinberg_dithering
Image comprising exactly two colors, typically black and white
technical and artistic applications, for example in digital image processing and pixel art. Binary images can be interpreted as subsets of the two-dimensional
Binary_image
response, giving only a one-bit quantized measurement of the local light intensity. The response function of the image sensor is non-linear and similar
Oversampled binary image sensor
Oversampled_binary_image_sensor
16-bit computer number format
applications where higher precision is not essential, in particular image processing and neural networks. Almost all modern uses follow the IEEE 754-2008
Half-precision floating-point format
Half-precision_floating-point_format
Standard for HDTV image encoding and signal characteristics
use motion processing to remove the inter-field motion and deinterlace, creating progressive frames. In the latter case, motion processing can introduce
Rec._709
Digital image having no color information
storage, image processing software typically uses integer or floating-point numbers of size 16 or 32 bits. Conversion of an arbitrary color image to grayscale
Grayscale
Family of lossless-compression image file formats
"ISO/IEC 15948:2004 – Information technology – Computer graphics and image processing – Portable Network Graphics (PNG): Functional specification". International
PNG
File format
rounding (quantization) and so it does not introduce any quantization noise. After the wavelet transform, the coefficients are scalar-quantized to reduce
Progressive_Graphics_File
Enhanced signal representation in digital media
discussing the dynamic ranges of images, videos, audio, or radio. It may also apply to the means of recording, processing, and reproducing such signals including
High_dynamic_range
Process of removing noise from a signal
(2018-11-01). "Quantization Noise of Multilevel Discrete Wavelet Transform Filters in Image Processing". Optoelectronics, Instrumentation and Data Processing. 54
Noise_reduction
Type of halftoning
the quantization residual is distributed to neighboring pixels that have not yet been processed. Its main use is to convert a multi-level image into
Error_diffusion
Lossy compression method for reducing the size of digital images
hue. In the transform domain, the process of reducing information is called quantization. In simpler terms, quantization is a method for optimally reducing
JPEG
Use of a GPU for computations typically assigned to CPUs
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles
General-purpose computing on graphics processing units
General-purpose_computing_on_graphics_processing_units
Algorithmic production of digital images
the output image look blurred. These methods, using Markov fields, non-parametric sampling, tree-structured vector quantization and image analogies are
Texture_synthesis
Sufficiency theorem for reconstructing signals from samples
optical image. Instead of requiring an optical filter, the graphics processing unit of smartphone cameras performs digital signal processing to remove
Nyquist–Shannon sampling theorem
Nyquist–Shannon_sampling_theorem
Hypothetical particle with one magnetic pole
charge quantization has appeared. (The concept of local gauge invariance—see Gauge theory—provides a natural explanation of charge quantization, without
Magnetic_monopole
Metric used to measure signal quality
Nikolay (2020-02-11). "Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging". Applied Sciences. 10 (4): 1223. doi:10
Peak_signal-to-noise_ratio
Inaccuracy in computer graphics
the image, blurring the image does not fix this unless the image BPP is higher than the original. Posterization Quantization (signal processing) Gonzalez
Colour_banding
Large language model developed by Google
designed to be multimodal, meaning it could process multiple types of data simultaneously, including text, images, audio, video, and computer code. It had
Gemini_(language_model)
Image dataset
resolution, and whitened, before further processing by neural networks. For example, in PyTorch, ImageNet images are by default normalized by dividing the
ImageNet
Video compression standard
initial quantization parameter (QP) ensuring minimal acceptable quality. Subsequent refinement layers reduce the QP by six, halving the quantization step
Scalable_Video_Coding
Continuous time-varying signal
bandwidth and dynamic range constraints on the representation and adds quantization noise. The term analog signal usually refers to electrical signals; however
Analog_signal
Image dithering algorithm
is any image dithering algorithm which uses a pre-set threshold map tiled across an image. It is commonly used to display a continuous image on a display
Ordered_dithering
Combining multiple images to create one
the encoder, images are divided into non-overlapping 8×8 blocks, and the DCT coefficients are calculated for each. Since the quantization of DCT coefficients
Multi-focus_image_fusion
Approximate nearest neighbor search algorithm
Other approximate methods include locality-sensitive hashing and product quantization. HNSW builds on research into small-world networks and navigable graphs
Hierarchical navigable small world
Hierarchical_navigable_small_world
Noise removal process during image processing
In signal processing, particularly image processing, total variation denoising, also known as total variation regularization or total variation filtering
Total_variation_denoising
Type of data compression
vector quantization of small fixed-size blocks of pixels into small fixed-size blocks of coding bits, sometimes with additional extra pre-processing and
Texture_compression
Central processing unit by Sony Computer Entertainment and Toshiba
IPU allowed MPEG-2 compressed image decoding, allowing playback of DVDs and game FMV. It also allowed vector quantization for 2D graphics data. The memory
Emotion_Engine
Nvidia introduced the Video Processing Engine or VPE with the GeForce 4 MX. It is a feature of Nvidia's GeForce graphics processor line that offers dedicated
Video_Processing_Engine
Video compression format, succeeds MPEG-1
in brightness and color. The quantization may either be coarse or fine, as selected by the encoder. If the quantization is not too coarse and one applies
H.262/MPEG-2_Part_2
Technique used in signal processing and data compression
transformation technique in signal processing and data compression. It is used in most digital media, including digital images (such as JPEG and HEIF), digital
Discrete_cosine_transform
Video encoding standard
high-amplitude values prior to applying quantization (see below). Quantization is, essentially, the process of reducing the accuracy of a signal, by
MPEG-1
Printing process
decoder and predictive pruned tree-structured vector quantization". IEEE Transactions on Image Processing. 3 (6): 854–858. Bibcode:1994ITIP....3..854T. doi:10
Halftone
Color model based on red, green and blue
throughout the process. Along with the creative processing, such interventions on digital images can damage the color accuracy and image detail, especially
RGB_color_model
Image dithering algorithm by Bill Atkinson
algorithm scans the image top-to-bottom, left-to-right (i.e. in row-major order), quantizing pixel values one by one. Each time the quantization error is transferred
Atkinson_dithering
Creation of a digitally encoded representation of the visual characteristics of an object
include the processing, compression, storage, printing and display of such images. A key advantage of a digital image, versus an analog image such as a
Digital_imaging
Machine learning model for vision processing
of an image into a list of vectors, one for each patch. The vectors can only come from a discrete set of "codebook", as in vector quantization. Another
Vision_transformer
Image compression standard and coding system
coefficients, so the output does not require rounding (quantization) and so it does not introduce any quantization noise. It is used in lossless coding. The wavelet
JPEG_2000
Open-source Python library for scientific computing
vector quantization, K-means constants: physical constants and conversion factors datasets: various example datasets for demonstrating image and data
SciPy
Compressed image file format
allows lowpass and AC quantization step sizes to vary from macroblock to macroblock. Because all encoding phases except quantization are lossless, JPEG XR
JPEG_XR
Loss of qualities between copies
acceptable frame rates and resolutions. Images can suffer from generation loss in the same way video and audio can. Processing a lossily compressed file rather
Generation_loss
Method in computer arithmetic
image classification, speech recognition and recommendation systems. For instance, MXFP6 closely matches FP32 for inference tasks after quantization-aware
Block_floating_point
Data compression
photographic images. The transformation is typically lossless (perfectly reversible) on its own but is used to enable better (more targeted) quantization, which
Transform_coding
Family of large language models by Google
exception of Gemma 31B, which has a context length of 32K. Quantized versions fine-tuned using quantization-aware training (QAT) are also available, offering sizable
Gemma_(language_model)
Image noise reducing technique
In image processing and computer vision, anisotropic diffusion, also called Perona–Malik diffusion, is a technique aiming at reducing image noise without
Anisotropic_diffusion
Method in image processing of contrast adjustment using the image's histogram
In image processing, Histogram equalization is a method of contrast adjustment using the image's histogram. Histogram equalization is a specific case
Histogram_equalization
Small elements of a computer graphic
metrics calculated in image processing. Image texture metrics give us information about the whole image or selected regions. Image textures can be artificially
Image_texture
Overview of and topical guide to deep learning
multiple processing layers. It emphasizes representation learning and is widely used in areas such as computer vision, natural language processing, speech
Outline_of_deep_learning
Force resulting from the quantisation of a field
field in question. The second quantization of quantum field theory requires that each such ball-spring combination be quantized, that is, that the strength
Casimir_effect
Method for reducing unwanted sound
generally achieved through the use of analog circuits or digital signal processing. Adaptive algorithms are designed to analyze the waveform of the background
Active_noise_control
Computer graphic effect
algorithms that produce compression artifacts. Quantization: Digital imprecision generated in the process of converting analog information into digital
Digital_artifact
Non-linear digital filtering technique to remove noise
noise from an image, signal, and video. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example,
Median_filter
Intrinsic quantum property of particles
momentum. The relativistic spin–statistics theorem connects electron spin quantization to the Pauli exclusion principle: observations of exclusion imply half-integer
Spin_(physics)
Signal used to represent data as a sequence of discrete values
waves. In digital signal processing, a digital signal is a representation of a physical signal that is sampled and quantized. A digital signal is an abstraction
Digital_signal
signals or photographic images Vector quantization: technique often used in lossy data compression TurboQuant: online vector quantization algorithm for lossy
List_of_algorithms
QUANTIZATION IMAGE-PROCESSING
QUANTIZATION IMAGE-PROCESSING
Girl/Female
Anglo Saxon
Image.
Girl/Female
Tamil
Praatika | பà¯à®°à®¾à®¤à¯€à®•à®¾
Image, Symbolic
Praatika | பà¯à®°à®¾à®¤à¯€à®•à®¾
Girl/Female
Arabic, Indian, Tamil
Victory; Honest Image; True Image; Truth
Girl/Female
Hindu
Image
Girl/Female
Greek
Honest image.
Boy/Male
Indian
Image
Girl/Female
German, Latin
True Image
Girl/Female
Tamil
Golden image
Boy/Male
Arabic, Muslim
Image
Girl/Female
Indian
Image, Young
Girl/Female
Hindu
Golden image
Boy/Male
Hindu, Indian, Marathi
Image
Girl/Female
Maori
Image.
Girl/Female
Muslim
Image, Young
Boy/Male
Muslim
Image
Girl/Female
Anglo Saxon
Image.
Girl/Female
Australian, Indonesian
Image
Girl/Female
Tamil
Onalika | ஓநாலிகாÂ
Image
Onalika | ஓநாலிகாÂ
Girl/Female
Arabic, French, Muslim
Belief
Girl/Female
Hindu
Image, Symbolic
QUANTIZATION IMAGE-PROCESSING
QUANTIZATION IMAGE-PROCESSING
Girl/Female
Muslim
Chosen
Female
Hebrew
Variant spelling of Hebrew Iyzebel, IZEVEL means "Ba'al exalts," "unchaste," or "without cohabitation." In the bible, this is the name of the evil wife of King Ahab. She was eaten by dogs as prophesied by Elijah.
Girl/Female
Arabic, Muslim
Bluish; Like Blue
Girl/Female
Muslim/Islamic
Pretty woman
Boy/Male
Arabic, Muslim
Lion
Boy/Male
American, British, English
From the King's Hall
Girl/Female
American, British, English, Latin
God is Gracious; Variant of Joan
Girl/Female
Tamil
Vyadhinashini | வà¯à®¯à®¾à®¤à¯€à®¨à®¾à®·à¯€à®¨à¯€
Vanquisher of ailments
Boy/Male
Welsh
Lion.
Boy/Male
Tamil
Lord Vishnu
QUANTIZATION IMAGE-PROCESSING
QUANTIZATION IMAGE-PROCESSING
QUANTIZATION IMAGE-PROCESSING
QUANTIZATION IMAGE-PROCESSING
QUANTIZATION IMAGE-PROCESSING
imp. & p. p.
of Image
n.
To image; to conceive; to body forth.
n.
Hence: The likeness of anything to which worship is paid; an idol.
n.
One who images or forms likenesses; a sculptor.
n.
The figure or picture of any object formed at the focus of a lens or mirror, by rays of light from the several points of the object symmetrically refracted or reflected to corresponding points in such focus; this may be received on a screen, a photographic plate, or the retina of the eye, and viewed directly by the eye, or with an eyeglass, as in the telescope and microscope; the likeness of an object formed by reflection; as, to see one's image in a mirror.
a.
Having no image.
n.
A distorted image.
p. pr. & vb. n.
of Image
v. t.
To form an image or likeness of.
n.
A picture, example, or illustration, often taken from sensible objects, and used to illustrate a subject; usually, an extended metaphor.
n.
Show; appearance; cast.
v. t.
To represent or form an image of; as, the still lake imaged the shore; the mirror imaged her figure.
n.
Image; likeness; hence, those formed in one's image; children; descendants.
v. t.
To represent to the mental vision; to form a likeness of by the fancy or recollection; to imagine.
n.
A shape; an image; a phantom.
n.
An image or representation of anything.
n.
An image.
n.
A representation of anything to the mind; a picture drawn by the fancy; a conception; an idea.
pl.
of Imago
n.
An imitation, representation, or similitude of any person, thing, or act, sculptured, drawn, painted, or otherwise made perceptible to the sight; a visible presentation; a copy; a likeness; an effigy; a picture; a semblance.