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Topic: Quantization (image processing)

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	Image Converter Plus - command line batch image converter \| tiff converter, multipage tiff converter
		Image Converter Plus command line is a comprehensive and powerful image conversion utility which allows the batch-processing of large numbers of graphics files at the same time.
		Image Converter Plus command line is the ideal solution for those occasions when you have a large number of images which require conversion to TIFF format.
		Image Converter Plus command line can be easily launched from any Visual C++, Visual Basic or Delphi application, or even from any ASP script.
	www.2tiff.com (386 words)

	Quantization (image processing) - Encyclopedia, History, Geography and Biography
		Quantization techniques generally compress by compressing a range of values to a single quantum value.
		Although more frequent in the past, nowadays color quantization with pallets of lower than 256 colours is mainly used in GIF and PNG images.
		A common quantization algorithm is the Octree-based algorithm, as described in the MSDN article on ASP.NET color quantization.
	www.arikah.net /encyclopedia/Quantization_%28image_processing%29 (515 words)

	Articles - Quantization (signal processing) (Site not responding. Last check: 2007-10-26)
		In digital signal processing, quantization is the process of approximating a continuous range of values (or a very large set of possible discrete values) by a relatively-small set of discrete symbols or integer values.
		The simplest and best-known form of quantization is referred to as scalar quantization, since it operates on scalar (as opposed to multi-dimensional vector) input data.
		In many cases, quantization can be viewed as the fundamental element that distinguishes lossy data compression from lossless data compression, and the use of quantization is nearly always motivated by the need to reduce the amount of data needed to represent a signal.
	www.zgrey.com /articles/Quantization_(signal_processing) (825 words)

	Quantization device and method, inverse-quantization device and method, and image processing device and method - Patent ...
		The quantization device as claimed in claim 2, wherein the location/area information stored in said location/area information storage device indicates areas which are divided by lines parallel to a diagonal of said matrix, and wherein said first coefficients and said process location information are provided in a zigzag scanning sequence.
		The quantization table memory 303 is a semiconductor memory which stores quantization matrix information (sometimes referred to as a quantization table) used in a quantization process.
		The quantization table memory 303, the multiplying and clipping processing unit 301, and the quantization operation unit 302 are the same as those of the quantization device in prior art as shown in FIG.
	www.freepatentsonline.com /5923787.html (6621 words)

	Multi-mode image processing permitting selection of quantization process according to image characteristics - Patent ...
		An image processing apparatus according to claim 1, wherein the first quantization step is determined for a particular block in accordance with an image type of that block, and wherein the second quantization is determined irrespective of the image type of that block.
		An image processing apparatus according to claim 4, wherein the image type of the block is discriminated using data already encoded.
		An image processing apparatus according to claim 4, wherein the image type of the block is discriminated using luminance data already encoded.
	www.freepatentsonline.com /5422736.html (6141 words)

	Color (Image Processing Toolbox)
		The quality of the resulting image depends on the approximation method you use, the range of colors in the input image, and whether or not you use dithering.
		An important term in discussions of image quantization is RGB color cube, which is used frequently throughout this section.
		Quantization involves dividing the RGB color cube into a number of smaller boxes, and then mapping all colors that fall within each box to the color value at the center of that box.
	www-rohan.sdsu.edu /doc/matlab/toolbox/images/color5.html (1171 words)

	Facts about topic: (Quantization (image processing)) (Site not responding. Last check: 2007-10-26)
		Quantization, involved in image processing (additional info and facts about image processing), is the process seeking to reduce the number of colors required to represent an image (An iconic mental representation).
		Dither (An excited state of agitation) the image to the new color palette.
		An usual quantization algorithm is the Octree-based algorithm, as described in the article on ASP.NET (additional info and facts about ASP.NET) color quantization
	www.absoluteastronomy.com /encyclopedia/q/qu/quantization_(image_processing).htm (109 words)

	55:148 Dig. Image Proc. Chapter 2, Part 2 (Site not responding. Last check: 2007-10-26)
		An image captured by a sensor is expressed as a continuous function f(x,y) of two co-ordinates in the plane.
		Image digitization means that the function f(x,y) is sampled into a matrix with M rows and N columns.
		Thus the Fourier transform of the sampled image is the sum of periodically repeated Fourier transforms F(u,v) of the image.
	www.icaen.uiowa.edu /~dip/LECTURE/ImageProperties2.html (895 words)

	Encyclopedia: Quantization (image processing) (Site not responding. Last check: 2007-10-26)
		In numerical analysis and functional analysis, the discrete wavelet transform (DWT) refers to wavelet transforms for which the wavelets are discretely sampled.
		JPEG 2000 is a wavelet-based image compression standard.
		Images may be subject to relevant owners' copyright.
	www.nationmaster.com /encyclopedia/Quantization-(image-processing) (201 words)

	Method and apparatus for image processing using model-based localized quantization - US Patent 5828413 (Site not responding. Last check: 2007-10-26)
		The method according to claim 1, wherein the step of scalar quantizing portions of said one of said blocks includes the steps of determining a second error criterion and scalar quantizing portions of said one of said blocks when said second error criterion is less than a second preset threshold.
		The ability of an image processing system to code a source image, transmit the coded information at low data rate over existing telephone lines, and reproduce the source image with minimal distortion at a location remote from the source has been a basic design goal.
		An image extract and partition device 210, which may include a conventional camera for capturing an image, and circuitry for processing the captured image and converting the captured frames with data signals.
	www.patentstorm.us /patents/5828413.html (4006 words)

	Image Processing - Final Project Presentations (Site not responding. Last check: 2007-10-26)
		Nearly all images that we see today are in color, so it is also important to learn how to process these types of images.
		Morphology, or mathematical morphology, is a tool used in image processing for the extraction of image components that are useful in the representation and description of region shape.
		JPEG (Joint Photographic Experts Group) is an image compression standard sanctioned by the ISO (International Standards Organization), and it can give users the ability to take an image and compress it with little or no noticeable quality degradation at usual image compression range from 10:1 to as high as 20:1.
	www.cs.wfu.edu /~pauca/csc765/finalprojects.html (1392 words)

	EE368: Digital Image Processing
		Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing.
		We expect to cover topics such as image acquistion and display, properties of the human visual system, color representations, sampling and quantization, point operations, linear image filtering and correlation, transforms and subband decompositions, and nonlinear filtering, contrast and color enhancement, dithering, and image restoration, image registration, and simple feature extraction and recognition tasks.
		Image and Video Compression will be discussed in EE Lectures will be complemented by computer exercises where students develop their own image processing algorithms.
	www.stanford.edu /class/ee368 (174 words)

	Image Fundamentals
		Quantization refers to finite number of gray levels or colors used to represent the signal at each pixel.
		The prototype of free software for image processing is Image, written at the National Institute for Health (NIH), and sometimes referred to as NIH-Image.
		Both of these windows-based programs are quite useful for image processing, but there has not been much development recently for either of them.
	academic.mu.edu /phys/matthysd/web226/L0117.htm (478 words)

	Aleksandra Mojsilovic: Color Quantization (Site not responding. Last check: 2007-10-26)
		Color quantization is sampling of three dimensional color spaces (such as RGB or Lab), which results in a discrete subset of colors known as a color codebook or palette.
		Methods for processing gray-scale images cannot be simply extended to color images because they rely on the fact that each gray-level is described by a single number and the fact that a relation of full order can be easily established on the set of those numbers.
		We illustrate possible processing of color images by first introducing the basic average and difference operators and then implementing edge detection and compression of color quantized images.
	www.research.ibm.com /people/a/aleksand/sunflower.html (304 words)

	EE/CSE485: Digital Image Processing (Site not responding. Last check: 2007-10-26)
		For the effects of quantization change, we modified the bits per pixel from 8 to 6, 4, 2 and 1.
		It can be concluded that the higher the quantization level, the better the color of detail it is. This makes sense, since your COLORMAP is dependent on the number of bits per pixel.
		All images have already been included in the results section as requested in the report model.
	www.personal.psu.edu /students/j/u/juc169/fall2004_ee485chen_proj0.htm (685 words)

	(VI(S)TA) Visual Statistics Group
		Image compression systems commonly operate by transforming the input signal into a new representation whose elements are then independently quantized.
		Barlow hypothesis, the perceptual representation of the image should also be statistically efficient.
		natural image statistics and the fact that most of the image coding applications are intended to be judged by a human observer have motivated the use of human vision models and perceptual metrics to inspire the image representation in transform coders as well as the bit allocation in the selected representation (e.g.
	www.uv.es /vista/vistavalencia/image/image.html (1339 words)

	EE 4830: Digital Image Processing (Site not responding. Last check: 2007-10-26)
		The problem is that even though it has 8 levels, it is actually using much fewer quantization levels than the uniform quantizer.
		What happened is that, even though there is finer quantization at low luminance, most of the smooth areas in the image are actually regions of high luminance.
		The MSE error for the uniform quantization is 325 (20dB), and the contrast quantizer error is 963 (8dB).
	www.columbia.edu /~alb63/4830/hw2/hw2.html (160 words)

	Advanced Image Processing course
		Vector and matrix image presentations, discrete and continuous Fourier transforms.
		Image Representation : pyramids and wavelets (~ 1 lecture)
		Gersho and R. Gray, Vector Quantization and Signal Compression, Kluwer, 1992.
	cui.unige.ch /~aip (217 words)

	fCoder Image Converter Plus command line - Graphics Converter to TGA (Targa) image format.
		Image Converter Plus command line is a graphics converter allowing you to convert images to tga format from 130+ image file types including conversions from jpeg to tga, from bitmap to tga, from gif to tga and so on.
		Image Converter Plus command line processes multiple files at a time.
		Image Converter Plus command line not only converts images, it also edits them.
	batch.fcodersoft.com /2tga (588 words)

	Vector quantization image processing apparatus (US5136663)
		A vector quantization image processing apparatus includes a minimum value separation circuit, a normalization circuit, and a first codebook.
		By separating the minimum value of the inputted vector and normalizing at the maximum value, it is possible to reduce drastically the number of output vectors.
		A vector quantization image processing apparatus for processing a block of k samples of an input image signal, where k is an integer, regarding the block of k samples as an input vector composed k elements, comprising:
	www.delphion.com /details?pn10=US05136663 (189 words)

	USU RTPC Image Processing and Image Compression (Site not responding. Last check: 2007-10-26)
		In this project, Tom Briscoe developed a high-speed color image frame grabber.
		Digitized image data is transferred to RAM which is shared by a T800 transputer.
		The package was developed using the Trollius message-passing environment from Ohio State.
	www.engineering.usu.edu /ece/research/rtpc/projects/rt/vq.html (229 words)

	rgb2ind (Image Processing Toolbox)
		Each cube represents a single color in the output image.
		This method involves cutting the RGB color cube into smaller boxes (not necessarily cubes) of different sizes, depending on how the colors are distributed in the image.
		If the input image actually uses fewer colors than the number you specify, the output colormap is also smaller.
	www.tau.ac.il /cc/pages/docs/matlab/help/toolbox/images/rgb2ind.html (234 words)

	Adaptive Scalar Quantization without Side Information - Ortega, Vetterli (ResearchIndex) (Site not responding. Last check: 2007-10-26)
		Adaptivity is useful in applications, including image compression, where the statistics of the source are either not known a priori or will change over time.
		Our algorithm uses previously quantized samples to estimate the distribution of the source, and does not require that side information be sent in order to adapt to changing source statistics.
		Low-complexity GMM-based block quantisation of images using the..
	citeseer.ist.psu.edu /705550.html (680 words)

	U.S. Pregrant 20040131264 - Image processing apparatus, image processing method, program, and recording medium that ... (Site not responding. Last check: 2007-10-26)
		An image processing apparatus includes a condition setting unit with which a user sets a post-quantization condition.
		A partial decoding and decompression unit partially decodes and decompresses coded data according to the post-quantization condition set by the user, thereby reproducing image data the same as that reproduced by decoding and decompressing coded data after post-quantization processing in accordance with the post-quantization condition.
		An image data displaying unit displays on a display unit the image data reproduced by the partial decoding and decompression unit.
	cxp.paterra.com /uspregrant20040131264.html (200 words)

	VCL Components - Listing of Image Processing in Delphi
		ImageEn is a component suite for image processing, viewing and analysis.
		Imaging Toolkit for Delphi is a set of VCL components for image processing and acquisition.
		The images can be loaded / saved from / in files and from / in strames.
	www.vclcomponents.com /Delphi/Image_Processing (297 words)

	Vision Research Lab - Publications
		Abstract preview: "Image registration is an important operation in remote sensing applications that basically involves the identification of many control points in the images.
		Abstract preview: "Image registration is the process of matching two images so that corresponding coordinate points in the two images correspond to the same physical region of the scene being imaged.
		Abstract preview: "Image registration is one of the basic image processing operations in remote sensing.
	vision.ece.ucsb.edu /publications (7009 words)

	Compression Research
		A set of experiments was performed with a lossy image compression algorithm that utilizes non-uniform sampling and interpolation (NSI) of the image intensity surface.
		A scaled plot of the difference between the original image data and the 1.0 bpp NSI compressed Lena image.
		This allowed bi-linear interpolation to be used to scale relatively smooth areas and a form of pixel replication to be used for edge pixels, resulting in improved scaled image quality.
	www-2.cs.cmu.edu /~chuck/nsipg/nsi.html (487 words)

	Lecture Notes
		Lecture 13 Ultrasound image processing for quantitative analysis of fetal movement
		Elements of the theory of 2D signal processing
		Spatial, temporal and inter-channel data fusion for image restoration and enhancement in long distance observation systems
	www.eng.tau.ac.il /~yaro/lectnotes (179 words)

	Halftone, Palettemaker, Aurigma Graphics Processor - Dithering Software (Site not responding. Last check: 2007-10-26)
		May prove to be very useful if you need to optimize your images for publishing in the Web.
		PixTwix is an image processing ActiveX control featuring over 100 methods for manipulation and enhancement of images, special effects and filters, selections, undo, zooming and clipboard support.
		image processing, selection, irregular, regions, magic wand, undo, lossless, rotation, mixing, adding, multiplying, red eye, effect, color clamping, convolution, filter, encryption, decryption, skew, histogram
	www.winpigs.com /files/dithering.html (270 words)

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