... 361.23 Blind extraction of binary image from superposition ofseveral images [761]. 371.24 Blind separation of text binary images from a singleoverlapped image [761]. 38CONTENTS xv11.2.3 ... INTRODUCTION TO BLIND SIGNAL PROCESSING: PROBLEMS AND APPLICATIONS1.1 PROBLEM FORMULATIONS – AN OVERVIEW1.1.1 Generalized Blind Signal Processing ProblemA fairly general blind signal processing (BSP) ... – Semi-Blind Signal Processing 211.1.8 Why State Space Demixing Models? 221.2 Potential Applications of Blind and Semi-Blind Signal Processing 231.2.1 Biomedical Signal Processing 241.2.2...
... to createImage(). Image image = getImage (new URL ("http://www.ora.com/images/logo.jpg")); Image newOne = createImage (new FilteredImageSource (image. getSource(),new SomeImageFilter()));10 ... java.awt .image. ImageObserver;public class imageUpdateOver extends Applet { Image image;boolean loaded = false;public void init () { image = getImage (getDocumentBase(), "rosey.jpg");prepareImage (image, -1, -1, ... FilteredImageSourceThe FilteredImageSource class combines an ImageProducer and an ImageFilterto create a new Image. The image producer generates pixel data for an original image. The FilteredImageSource takes...
... complicated image processing problems efficiently. Although the classical linear image processing (CLIP) approach has played a central role in image processing, it A persistent issue in imageprocessing ... within the imageprocessing and computer vision community. Jean-Charles Pinoli Guang Deng Karen Panetta is not necessarily the best and even the right choice. General linear image processing ... authors show that SSIM index, which is used in imageprocessing to assess the similarity between an image representation and an original reference image, can be formulated as a locally quadratic...
... offeature extraction filters to the input image sequence, adifference image, a silhouette image, and an edge image aregenerated. Using these feature images, regions of interest aredynamically ... (fps)Ta rgetframe rateRecognitionunit [4]Recognitionunit [32]Difference image Silhouette image Edge image Input image sequencefor view nRecognitionunit [3]Recognitionunit [2]Recognitionunit ... isadopted. The synthesized multiview image is captured byan image capture device and then recorded in the database4 EURASIP Journal on Image and Video Processing 1C2C4C3CActorTo p...
... Digital ImageProcessing – Part II 54 Morphological Image Processing (a)(c)(d)(b)Digital ImageProcessing – Part II 87 Image Segmentation (a) (b)(c)(a)(b)Digital ImageProcessing ... compartments(a)(b)Digital ImageProcessing – Part II 13 Colour Image Processing (b) Figure 5 Illustration of intensity slicing and colour assignment. Digital ImageProcessing – Part II 10 Colour Image ... (a)(b)(c)(a)(b)(c)Digital ImageProcessing – Part II 59 Morphological Image Processing Figure 43 Example of morphological reconstruction.(a) A binary image of the blobs as the mask image; (b) A vertical...
... on Image and Video Processing, for giving them theopportunity to edit this special issue.Alain T r´emeauShoji TominagaKonstantinos N. Plataniotis2 EURASIP Journal on Image and Video Processing design ... color image and video segmentation and image descrip-tion. K. Lee et al., in their paper entitled “Color-based image retrieval using perceptually modified Hausdorff distance”present a color image ... colorizing the reconstructed luminance image using the color seeds.The special issue continues with two articles on color image analysis and description, especially on image quality.In the paper entitled...
... imple-mentation platforms for imageprocessing applications, par-ticularly real-time video processing [1]. Images have a highdegree of spatial parallelism, and thus imageprocessing ap-plications ... environment for image and signal processing, ”IEEE Transactions on Image Processing, vol. 3, no. 3, pp. 243–252, 1994.[19] P. M. Ngan, The development of a visual language for image pro-cessing ... representationfor representing the parallel design of imageprocessing algo-rithms. As imageprocessing algorithms often involve a num-ber of largely independent processing blocks, a suitable high-level...
... extraction from an image. (a) Original image, (b) SIFT features (original image) , and (c) SIFT features(rotated image) . 46818.7 Normalized Hamming distance. 47218.8 (a) An original image and (b–f) ... sensorarray processing, multimedia signal processing, and genomic signal processing and datamining. He was a founding member of several Technical Committees (TC) of the IEEE Sig-nal Processing ... Signal Processing Systems. He was a recipient of IEEESignal ProcessingSociety’sTechnicalAchievementAward for the contributions on “parallelprocessingand neuralnetwork algorithmsfor signalprocessing”(1992);...
... Zero-padded image fˆˆZero-padded image h(m0, n0)FIGURE 5.4Linear convolution of the same two images as Fig. 5.2 by zero-padding and cyclic convolution(via the DFT). (a) Zero-padded imagesˆf ... the phase spectrum ∠˜F as a single 2Dintensity image. 94 CHAPTER 4 Basic Binary Image Processing (a)(b)FIGURE 4.21Example rows of a binary image, depicting (a) reasonable and (b) unreasonable ... CHAPTER 4 Basic Binary Image Processing (a) (b)FIGURE 4.20Object boundary detection. Application of boundary(f , B) to (a) the image “cells”; (b) the majority-filtered image in Fig. 4.19(c).is...
... basis images span the image ensemble. Ty pically, the basis images are learned using images not necessarily illuminatedunder the same lighting condition. This forces the learned basis images ... 56]characterizes the appearances of an image ensemble for a class of objects. It assumes thatan image h is expressed as a linear combination of basis images hi, i.e.,h ϭmiϭ1fihi, ... from 2D images is a difficult task. There are two types ofapproaches: model-based and image- based. Model-based approaches [35,68–70] requireexplicit knowledge of prior 3D models, while image- based...
... finally offersa set of imageprocessing operators with GPU accelerationavailable.Categories and Subject DescriptorsI.4.0 [Image processing and computer vision]: Gen-eral Imageprocessing softwareGeneral ... this paper, we presented benefits and issues of usingGPGPU for image processing. We described our open sourceframework for imageprocessing and computer vision, whichis an extension of IntelˇSs ... preferred to keep the data on GPU and avoiddata transfers.2.3 Sequential to parallel processing Some sequential imageprocessing algorithms that are wellsuited for the CPU architecture cannot be easily...
... convolved image. The value of each pixel in a correlation image is a measure of how well thetarget image matches the searched image at that point. In this particularexample, the correlation image ... overwritten with the image& apos;sN&1frequency spectrum. Chapter 24- Linear ImageProcessing 399a. True brightnessb. Perceived brightnessFIGURE 24-2Mach bands. Imageprocessing in theretina ... one-dimensional signals, image convolution can be viewed in twoways: from the input, and from the output. From the input side, each pixel in397CHAPTER24Linear Image Processing Linear image processing...
... xix1Introduction 151.1 What Is Digital Image Processing? 151.2 The Origins of Digital ImageProcessing 171.3 Examples of Fields that Use Digital ImageProcessing 211.3.1 Gamma-Ray Imaging 221.3.2 ... 341.4 Fundamental Steps in Digital ImageProcessing 391.5 Components of an ImageProcessing System 42Summary 44References and Further Reading 452Digital Image Fundamentals 342.1 Elements ... Using a Single Sensor 472.3.2 Image Acquisition Using Sensor Strips 482.3.3 Image Acquisition Using Sensor Arrays 492.3.4 A Simple Image Formation Model 502.4 Image Sampling and Quantization...
... the published literature on image processing. Major refereed journals that publish articles on imageprocessing and related topicsinclude: IEEE Transactions on Image Processing; IEEE Transactions ... 7Wavelets andmultiresolution processing CHAPTER 6Color image processing Outputs of these processes generally are imagesCHAPTER 5 Image restorationCHAPTERS 3 & 4 Image enhancementProblemdomainOutputs ... specif-ically for image processing. Although large-scale imageprocessing systems still are being sold for mas-sive imaging applications, such as processing of satellite images, the trend con-tinues...