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The Foundations of computational Imaging: A signal processing perspective

ieee signal processing MAGAZINE 2023年第5期40卷 40-53页

作者： Karl, W. Clem Fowler, James E. Bouman, Charles A. Cetin, Mujdat Wohlberg, Brendt Ye, Jong Chul Boston Univ Elect & Comp Engn Dept Boston MA 02215 USA Boston Univ Biomed Engn Dept Boston MA 02215 USA Mississippi State Univ Dept Elect & Comp Engn Mississippi State MS 39762 USA Purdue Univ Elect & Comp Engn & Biomed Engn W Lafayette IN 47907 USA Univ Rochester Elect & Comp Engn & Comp Sci Rochester NY 14627 USA Univ Rochester Goergen Inst Data Sci Rochester NY 14627 USA Univ Rochester New York State Ctr Excellence Data Sci Rochester NY 14627 USA Los Alamos Natl Lab Theoret Div Los Alamos NM 87545 USA Korea Adv Inst Sci & Technol KAIST Kim Jaechul Grad Sch Artificial Intelligence Daejon 305701 South Korea Korea Adv Inst Sci & Technol KAIST Dept Math Sci Daejon 305701 South Korea Korea Adv Inst Sci & Technol KAIST Dept Bio & Brain Engn Daejon 305701 South Korea

Twenty-five years ago, the field of computational imaging arguably did not exist, at least not as a standalone arena of research activity and technical development. Of course, the idea of using computation to form images had been around for several decades, largely thanks to the development of medical imaging-such as magnetic resonance imaging (MRI) and X-ray tomography-in the 1970s and synthetic-aperture radar (SAR) even earlier. Yet, a quarter of a century ago, such technologies would have been considered to be a subfocus of the wider field of image processing. This view started to change, however, in the late 1990s with a series of innovations that established computational imaging as a scientific and technical pursuit in its own right.

关键词： Technological innovation Magnetic resonance imaging signal processing algorithms Radar imaging image processing Synthetic aperture radar Radar polarimetry X-ray imaging History

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2-D block Kalman Filter with Colored Driving Source for image Restoration Using Adaptive image Modeling

2-D block Kalman Filter with Colored Driving Source for Imag...

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ieee International symposium on signal processing and Information Technology (ISSPIT)

作者： Nagayasu, Ryu Tanabe, Nari Furukawa, Toshihiro Tokyo Univ Sci Shinjuku Ku Tokyo 1628601 Japan Tokyo Univ Sci Nagano 3910292 Japan

ISBN: (纸本)9781479947966

This paper presents a fast image restoration method using the 2-D block Kalman filter with colored driving source. The remarkable feature of the proposed method is reduced computational complexity using the high correlation pixels of current region and reference region, while the conventional 2-D block Kalman filter methods performed image restoration without considering the relationship between the reference region and the current region. We have shown the effectiveness of the proposed method by numerical results and subjective evaluation results.

关键词： image restoration 2-D block Kalman filter colored dricing source blur and noise

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Iterative image Subset Scanning for image Reconstruction From Sensor signals 15

Iterative Image Subset Scanning for Image Reconstruction Fro...

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ieee International symposium on signal processing and Information Technology (ISSPIT)

作者： Cherubini, Giovanni Hurley, Paul Simeoni, Matthieu Kazemi, Sanaz IBM Res Zurich CH-8803 Ruschlikon Switzerland

ISBN: (纸本)9781509004805

image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method for image reconstruction based on the iterative scanning of a region of interest. A modified approximate message passing (AMP) algorithm is adopted to extract relevant image information with low computational complexity from signals received by sensors. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared in the case of radio astronomy with the CLEAN algorithm.

关键词： AMP algorithm imaging sensor arrays

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Novel Float Glass Thickness Measurement based on image processing

Novel Float Glass Thickness Measurement based on Image Proce...

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1st International symposium on computational intelligence and Design

作者： Yang Ni Wang Yu-tian Yanshan Univ Measurement Technol & Instrumentat Key Lab Hebei He Bei Qin Huangdao 066004 Peoples R China

ISBN: (纸本)9780769533117

Non-touch on-line thickness measurement using CCD vision system is present. Measurement principle, composition of the detection system and the operation process are expatiated. Mathematical morphology theory is successfully used in thickness image analysis and image processing. Distance of two light beams represents the measured thickness. Center orientation is a key aspect of improving precision of thickness measurement. Morphology thinning algorithm is proposed to locate the central lines of line-structured light image. The algorithm can safely thin entities to their central points. Experimental results show that the measurement error is less than 0.8%, and the morphological algorithm presented here is adaptable to real time image processing.

关键词： Glass Thickness measurement image processing Charge coupled devices Surface morphology Laser beams Velocity measurement Electromagnetic measurements Optical refraction image analysis

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3D Shape Estimation With an Enhanced Sparse Representation Approach

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ieee signal processing LETTERS 2021年 28卷 1685-1688页

作者： Wang, Jia-Xiang Sun, Zhan-Li Zeng, Zhi-Gang Lam, Kin-Man Anhui Univ Sch Artificial Intelligence Hefei 230000 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Hong Kong Peoples R China

In this paper, an enhanced sparse representation approach is proposed to estimate the 3D shapes of objects in 2D image sequences. In the proposed method, the unknown 3D shape is estimated via a two-stage scheme, namely the main 3D shape estimation stage and the compensatory 3D shape estimation stage. Moreover, a reweighted sparse representation model is constructed to extract the shape bases for each estimation stage. In the sparse model, a reweighted constraint is enforced to enhance the coefficient sparsity of the shape bases. Experimental results on the well-known CMU image sequences demonstrate the effectiveness and feasibility of the proposed approach.

关键词： Shape Three-dimensional displays Estimation Solid modeling computational modeling signal processing algorithms image reconstruction Non-rigid structure from motion sparse representation model 3D reconstruction

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Two-stage Racetrack Segmentation Method using Color Feature Filtering and Superpixel-based Convolutional Neural Network 12

Two-stage Racetrack Segmentation Method using Color Feature ...

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12th ieee International symposium on Applied computational intelligence and Informatics (SACI)

作者： Hollosi, Janos Horvath, Erno Pozna, Claudiu Radu Szechenyi Istvan Univ Dept Informat Technol Gyor Hungary Transilvania Univ Brasov Dept Automat Brasov Romania

ISBN: (纸本)9781538646403

The Szechenyi Istvan University race car team is an active and successful participant of the Shell Eco-marathon for long time ago. The Shell introduces the autonomous vehicle category on the Eco-marathon for 2018. Our long-term goal is to make the Szenergy racing team's vehicle suitable for the autonomous category. The first milestone is to make a reliable computer vision based intelligent detection system that understands the environment of the racing car. In this paper we will present a solution for racetrack detection i.e. a fusion of image processing and neural network systems. The two-stage recognition system is at the first phase an image processing algorithm which finds the red-white and blue-white striped edge of the road, and at the second phase, a pre-trained superpixel-based neural network which recognize the road on the filtered image.

关键词： Roads image color analysis image segmentation Convolutional neural networks image edge detection"

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Enhanced shot-based video adaptation using MPEG-21 generic bitstream syntax schema

Enhanced shot-based video adaptation using MPEG-21 generic b...

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ieee symposium on computational intelligence in image and signal processing

作者： De Bruyne, Sarah De Schrijver, Davy De Neve, Wesley Van Deursen, Davy Van de Walle, Rik Univ Ghent IBBT Dept Elect & Informat Syst Multimedia Lab B-9050 Ledeberg Ghent Belgium

ISBN: (纸本)9781424407071

Semantic video adaptation takes into account the relevance of the different fragments of the video content in order to create a tailored video stream based on the user's preferences. As a shot can be considered as the smallest semantic unit in a video sequence, metadata can be added to each shot using MPEG-7 descriptions. Based on these metadata and the user's preferences, the original bitstream can be adapted in order to obtain the desired fragments. MPEG-21 DIA offers a tool, gBS Schema, for exposing the high-level structure of a binary resource as an XML description. In this paper, shot information is inserted in these descriptions to create a link between metadata and semantic video adaptation. Furthermore, this paper proposes to keep the structure of these descriptions format-agnostic. As a result, only one generic transformation style sheet has to be implemented to support shot-based video adaptation of sequences compliant with different video specifications. Special attention is payed to sequences coded with the H.264/AVC standard as this specification contains several interesting features important for shot-based video adaptation.

关键词： image enhancement

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Dim Target Detection Based on Visual Saliency In Linear CCD image 8

Dim Target Detection Based on Visual Saliency In Linear CCD ...

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8th International symposium on computational intelligence and Design (ISCID)

作者： Li, Yajing Lei, Zhiyong Gao, Junchai Xian Technol Univ Sch Elect Informat Engn Xian Peoples R China

ISBN: (纸本)9781467395878

To solve the problem that the dim target of line-scan CCD image detection in complex background, a target detection method based on visual significance is proposed. According to the characteristics of line-scan CCD target image, a new feature vector was constructed, double search windows were designed which was similar to the target shape, and the line-scan CCD image's saliency map was got through calculating the similarity of the center and surrounding pixels neighborhoods' feature vector in the window. Then the saliency map was clustered and segmented to extract the targets. The experiment results show that the method can effectively suppress noise and background to detect dim targets in the images.

关键词： image processing Target Detection Dim Target Visual Saliency Clustering

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ADAPTIVE SMOOTHING - A GENERAL TOOL FOR EARLY VISION

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ieee TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE intelligence 1991年第6期13卷 514-529页

作者： SAINTMARC, P CHEN, JS MEDIONI, G UNIV SO CALIF INST ROBOT & INTELLIGENT SYST LOS ANGELES CA 90089 USA

We present a method to smooth a signal-whether it is an intensity image, a range image or a planar curve-while preserving discontinuities. This is achieved by repeatedly convolving the signal with a very small averaging mask weighted by a measure of the signal continuity at each point. The method is extremely attractive since edge detection can be performed after a few iterations, and features extracted from the smoothed signal are correctly localized. Hence no tracking is needed, as in Gaussian scale-space. This last property allows us to derive a new scale-space representation of a signal using the adaptive smoothing parameter k as the scale dimension. We then show how this process relates to anisotropic diffusion. When a large amount of smoothing is desired, we propose a multigrid implementation which reduces the computational time significantly. Given the local nature of the algorithm, we also propose a parallel implementation: the running time on a 16K Connection Machine is three orders of magnitude faster than on a serial machine. We then present several applications of adaptive smoothing: edge detection, range image feature extraction, corner detection, and stereo matching. Examples are given throughout the text using real images.

关键词： CORNER DETECTION EARLY processing EDGE DETECTION MULTIGRID processing RANGE image ANALYSIS REGION SEGMENTATION SMOOTHING STEREO

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Concurrent self-organizing maps for multispectral facial image recognition

Concurrent self-organizing maps for multispectral facial ima...

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ieee symposium on computational intelligence in image and signal processing

作者： Neagoe, Victor-Emil Mugioiu, Alexandru-Cristian Tudoran, Cristian-Tudor Univ Politehn Bucuresti Dept Elect Telecommun & Informat Technol Bucharest 062510 Romania

ISBN: (纸本)9781424407071

This paper is dedicated to multispectral facial recognition, based on the model of Concurrent Self-Organizing Maps (CSOM), previously proposed by first author. The first approach of this paper is to apply CSOM classifier for color face recognition. Main variant of this approach has the follwing processing stages: (a) color conversion from the 3D RGB space into an optimum 2D selected color feature space;(b) Principal Component Analysis (PCA) for each resulted color component;(c) feature fusion;(d) CSOM/SOM classification. The proposed system is experimented using the ESSEX database of color facial images;it contains 151 subjects, where each is represented by 20 pictures of 200 x 180 pixels. The obvious advantage of CSOM over SOM is proved. The second approach of this paper is the implementation of a real time CSOM face recognition system using the decision fusion that combines the recognition scores generated from visual channels M G, B, and Y classifiers) with the thermal infrared classifier. As a source of color and infrared images, we used our VICFACE database of 38 subjects. Any picture has 160 x 120 pixels;for each subject there are pictures corresponding to various face expressions and illuminations, in the visual and infrared spectrum. The spectral sensitivity of infrared images corresponds to the longwave range of 7.5 - 13 pm. The very good experimental results are given, proving nearly invariance to illumination conditions.

关键词： Face recognition

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