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26th IEEE Signal processing and communications Applications conference (SIU)

作者： Ayas, Selen Gormus, Esra Tunc Ekinci, Murat Karadeniz Tech Univ Bilgisayar Muhendisligi Trabzon Turkey Karadeniz Tech Univ Harita Muhendisligi Trabzon Turkey

ISBN: (纸本)9781538615010

Remote sensing pan sharpening aims to enhance spatial resolution of multispectral image by injecting spatial details of a panchromatic image to multispectral image. In this study, a novel sparse representation based pan sharpening method is proposed to overcome the disadvantages of traditional methods such as color distortion and blurring effect. A data set acquired for each IKONOS and Quickbird satellites are used to evaluate the performance and robustness of the proposed algorithm. The proposed method is compared with four traditional methods using several quality measurement indices with reference image. The experimental results demonstrate that the proposed algorithm is competitive or superior to other conventional methods in terms of visual and quantitative analysis as it preserves spectral information and provides high quality spatial details in the final product image.

关键词： dictionary learning multispectral image panchromatic image pan sharpening sparse representation

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Eye-tracking-Based Quality Assessment for image Interpolation 33

Eye-tracking-Based Quality Assessment for Image Interpolatio...

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33rd IEEE International conference on visual communications and image processing (IEEE VCIP)

作者： Chen, Jinling Xu, Yiwen Wu, Ludi Liu, Yisang Zhao, Tiesong Fuzhou Univ Coll Phys & Informat Engn Fuzhou Fujian Peoples R China

ISBN: (纸本)9781538644584

In an image Quality Assessment (IQA) scenario, the Human Vision System (HVS) always acts as the ultimate receiver and valuator of generated images. As an important feature of HVS, the visual attention data has been demonstrated to be able to effectively improve the performance of existing objective quality metrics. However, this feature has not yet been well explored in the IQA of image interpolation. In this paper, we conduct an eye-tracking test on an interpolated image database and investigate the impact of visual attention on IQA of image interpolation. Two visual attention models, saliency map and Region Of Interest (ROI), are then obtained from the eye-tracking data. We further incorporate these models into non-integer interpolated IQA metric and examine their performances. Experiments show that the introduction of eye-tracking features obviously improves the conventional IQA metric for non-integer image interpolation.

关键词： image Quality Assessment (IQA) image interpolation visual saliency Region Of Interest (ROI) eye-tracking

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An investigation of implicit active contours for scientific image segmentation

An investigation of implicit active contours for scientific ...

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conference on visual communications and image processing 2004

作者： Weeratunga, SK Kamath, C Lawrence Livermore Natl Lab Livermore CA 94551 USA

ISBN: (纸本)0819452114

The use of partial differential equations in image processing has become an active area of research in the last few years. In particular, active contours are being used for image segmentation, either explicitly as snakes, or implicitly through the level set approach. In this paper, we consider the use of the implicit active contour approach for segmenting scientific images of pollen grains obtained using a scanning electron microscope. Our goal is to better understand the pros and cons of these techniques and to compare them with the traditional approaches such as the Canny and SUSAN edge detectors. The preliminary results of our study show that the level set method is computationally expensive and requires the setting of several different parameters. However, it results in closed contours, which may be useful in separating objects from the background in an image.

关键词： level set implicit active contour image segmentation edge detection

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Investigation of the effect of disparity-based asymmetrical filtering on stereoscopic video

Investigation of the effect of disparity-based asymmetrical ...

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conference on visual communications and image processing 2003

作者： Um, GM Speranza, F Zhang, L Tam, WJ Renaud, R Stelmach, LB Ahn, CH Elect & Telecommun Res Inst Radio & Broadcasting Lab Broadcasting Syst Res Dept Yuseong Gu Taejon 305350 South Korea

ISBN: (纸本)0819450235

Current binocular stereoscopic displays cause visual discomfort when objects with large disparities are present in the scene. One solution for improving visual comfort is synthetic depth of field processing, a technique which simulates the characteristics of the human visual system. With this technique, visual comfort is improved by blurring portions of the background and/or foreground in the scene. However, this technique has the drawback of degrading overall image quality because the blurring is typically applied to both left and right images. To lessen the visual discomfort caused by large disparities while maintaining high perceived image quality, we used a novel disparity-based asymmetrical filtering technique. Asymmetrical filtering, which refers to filtering applied to the image of one eye only, has been shown to maintain the sharpness of a stereoscopic image, provided that the amount of filtering is low. Disparity-based asymmetrical filtering uses the disparity information in a stereoscopic image to control the severity of blurring. We investigated the effects of this technique on stereoscopic video by measuring visual comfort and apparent sharpness. Our results indicate that disparity-based asymmetrical filtering does not always improve visual comfort but it maintains image quality.

关键词： visual comfort depth-of-field stereoscopic video disparity asymmetrical filtering image sharpness

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GPU-Aided Real-Time image/Video Super Resolution Based on Error Feedback

GPU-Aided Real-Time Image/Video Super Resolution Based on Er...

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IEEE visual communications and image processing conference

作者： Shen, Yuxiang Wu, Xiaolin Deng, Xiaowei McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada

ISBN: (纸本)9781479961399

Super resolution is a process to generate high-resolution images from their low-resolution versions. In many applications such as super-HD (4K) TV, super resolution has to be performed in real time. In this paper we propose a real-time image/ video super-resolution algorithm, which achieves good performance at low computational cost via off-line learning of interpolation errors in different pixel contexts. The proposed algorithm consists of three stages: fast edge-guided interpolation to generate an initial HR estimation, GPU-aided de-convolution, and error feedback compensation. All three stages can be implemented with GPU to support real-time applications. Experiments demonstrate the competitive performance of the new real-time super-resolution algorithm in both PSNR and visual quality.

关键词： Super resolution parallel computing machine learning error feedback artificial neural network

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SEMI AUTOMATIC ANNOTATION TOOL

SEMI AUTOMATIC ANNOTATION TOOL

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22nd IEEE Signal processing and communications Applications conference (SIU)

作者： Dongel, Tugce Cevikalp, Hakan Eskisehir Osmangazi Univ Elekt & Elekt Muhendisligi Bolumu Makine Ile Ogrenme & Bilgisayarli Goru Lab Eskisehir Turkey

ISBN: (纸本)9781479948741

When image labeling (annotation) process for image retrieval is performed by fully automatic algorithms, labels have noise, errors and missing labels. Correcting labels gathered automatically from web (using information around an image such as text, user-tags, etc) is done manually using human labor. Therefore, coordination of different indivuduals is necessary for a consistent annotation. In this paper, a semiautomatic annotation tool designed with Matlab GUI has been proposed for an efficient and consistent image labeling. In the proposed framework, we first compare visual features of the query image and the labeled gallery images by using "Chi-Squared" distance. Then we create an ordered label list by using the labels of the closest images. The user finally selects the appropriate labels from the list and finishes the labeling process. The tool also allows one to enter new labels in case the returned labels are not enough to describe the image content. In this way the subjectivity of human perception and loss of time are reduced as well as consistency and coordination among different indivuduals' annotations are accomplished.

关键词： image retrieval

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An Efficient Framework for image Interpolation Using Weighted Surface Approximation

An Efficient Framework for Image Interpolation Using Weighte...

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IEEE visual communications and image processing conference

作者： Wen, Jingyang Wan, Yi Lanzhou Univ Inst Signals & Informat Proc 222 South Tianshui Rd Lanzhou Peoples R China

ISBN: (纸本)9781479961399

Although it has been recognized that different textual contents in an image need to be treated differently during accurate image interpolation, how to classify these contents well has been a difficult problem due to the inherent complexity in natural images. In this paper we propose an efficient image interpolation framework with a novel weighted surface approximation approach. The key is that the weighted mean squared error of the approximation can be converted to a continuously distributed probability of a pixel belonging to a local smooth region or a textural one, thus essentially making a soft pixel classification. In addition, the fitted local surface provides an estimate of the pixel value under the smooth region assumption. This estimate is then fused with the estimate from the texture region assumption using the previously obtained probability to yield the final estimate. Experimental results show that the proposed framework consistently improves over typical state-of-the-art methods in terms of interpolation accuracy while maintaining comparable computational complexity.

关键词： image interpolation image zooming super-resolution surface approximation weighted least-squares optimization soft pixel classification

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SINGLE image SUPER-RESOLUTION VIA PHASE CONGRUENCY ANALYSIS

SINGLE IMAGE SUPER-RESOLUTION VIA PHASE CONGRUENCY ANALYSIS

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IEEE International conference on visual communications and image processing (VCIP)

作者： Yu, Licheng Xu, Yi Zhang, Bo Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Key Lab Digital Media Proc & Commun Shanghai 200240 Peoples R China

ISBN: (纸本)9781479902880

Single image super-resolution (SR) is a severely unconstrained task. While the self-example-based methods are able to reproduce sharp edges, they perform poorly for textures. For recovering the fine details, higher-level image segmentation and corresponding external texture database are employed in the example-based SR methods, but they involve too much human interaction. In this paper, we discuss the existing problems of example-based technique using scale space analysis. Accordingly, a robust pixel classification method is designed based on the phase congruency model in scale space, which can effectively divide images into edges, textures and flat regions. Then a super-resolution framework is proposed, which can adaptively emphasize the importance of high-frequency residuals in structural examples and scale invariant fractal property in textural regions. Experimental results show that our SR approach is able to present both sharp edges and vivid textures with few artifacts.

关键词： Phase congruency quaternion Gabor super-resolution example-based synthesis fractal-based enhancement

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Saliency guided image-driven simplification

Saliency guided image-driven simplification

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8th International conference on Information, communications and Signal processing, ICICS 2011

作者： Tan, Cheen-Hau Chau, Lap-Pui School of Electrical and Electronics Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781457700309

image-driven simplification has been proposed as a simplification method which generates models with high visual fidelity and factors in the error from mesh appearance properties. We propose to enhance it by improving the preservation of important regions of the simplified mesh. This is done by using image saliency to obtain regional importance of the mesh. visual inspection shows that visual quality of generated meshes are better than the previous algorithm. © 2011 IEEE.

关键词： Mesh generation

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DCT information recovery of erroneous image blocks by a neural predictor

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IEEE JOURNAL ON SELECTED AREAS IN communications 2000年第6期18卷 1111-1121页

作者： De Natale, FGB Perra, C Vernazza, G Univ Trent DICA I-38050 Trent Italy Univ Cagliari DIEE I-09123 Cagliari Italy Univ Genoa DIBE I-16145 Genoa Italy

In this paper, the problem of DCT information recovery in the transmission of coded visual data over packet networks is addressed. The loss of a packet conveying coded block data leads to the unsuccessful reconstruction of the relevant area, with consequent degradation of the received image quality. The proposed method allows recovery of a subset of the missing DCT coefficients sufficient to achieve good reconstruction quality of the lost block, based on the available surrounding information. To this purpose, a neural predictor was carefully designed and suitably trained with an appropriate set of synthetic and natural patterns. An extensive testing phase, performed on a large set of images with different frequency characteristics, revealed that the method provides very good reconstruction capabilities.

关键词： block-based coding error concealment neural prediction

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