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

作者： Korhonen, Jari Mantel, Claire Burini, Nino Forchhammer, Soren Tech Univ Denmark DTU Fotonik Dept Photon Engn Lyngby Denmark

ISBN: (纸本)9781479902880

Objective image and video quality metrics focus mostly on the digital representation of the signal. However, the display characteristics are also essential for the overall Quality of Experience (QoE). In this paper, we use a model of a backlight dimming system for Liquid Crystal Display (LCD) and show how the modeled image can be used as an input to quality assessment algorithms. For quality assessment, we propose an image quality metric, based on Peak Signal-to-Noise Ratio (PSNR) computation in the CIE L*a*b* color space. The metric takes luminance reduction, color distortion and loss of uniformity in the resulting image in consideration. Subjective evaluations of images generated using different backlight dimming algorithms and clipping strategies show that the proposed metric estimates the perceived image quality more accurately than conventional PSNR.

关键词： Video quality assessment Liquid crystal display Local backlight dimming

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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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Advantages of motion-JPEG2000 in video processing

Advantages of motion-JPEG2000 in video processing

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conference on visual communications and image processing 2002

作者： Yu, W Qiu, RB Fritts, J Washington Univ Dept Comp Sci St Louis MO 63130 USA

ISBN: (纸本)0819444111

The new ISO/ITU-T standard for still image coding, JPEG2000, has been shown to provide superior coding efficiency to the previous standard, JPEG. Because of the superb performance of JPEG2000. it is reasonable to argue that Motion-JPEG2000, the corresponding moving picture coding standard of JPEG2000, has equally outstanding performance. However, there has not been a sufficient performance evaluation of Motion-JPEG2000. To this end, we have studied the potential of Motion-JPEG2000 for video processing. Our experiments show that Motion-JPEG2000 provides high compression performance, strong error resilience, and good perceptual image quality. Together with a rich set of features inherited from JPEG2000, Motion-JPEG2000 has advantages as a coding standard for video processing in many applications.

关键词： motion-JPEG2000 video processing performance analysis compression efficiency error resilience subjective image quality.

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Faster and Finer Pose Estimation for Object Pool in a Single RGB image

Faster and Finer Pose Estimation for Object Pool in a Single...

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IEEE International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources

作者： Aing, Lee Lie, Wen-Nung Chiang, Jui-Chiu Natl Chung Cheng Univ CCU Dept Elect Engn Chiayi Taiwan Natl Chung Cheng Univ CCU Ctr Innovat Res Aging Soc CIRAS Chiayi Taiwan Natl Chung Cheng Univ CCU Adv Inst Mfg High Tech Innovat AIM HI Chiayi Taiwan

ISBN: (纸本)9781728185514

Predicting/estimating the 6DoF pose parameters for multi-instance objects accurately in a fast manner is an important issue in robotic and computer vision. Even though some bottom-up methods have been proposed to be able to estimate multiple instance poses simultaneously, their accuracy cannot be considered as good enough when compared to other state-of-the-art top-down methods. Their processing speed still cannot respond to practical applications. In this paper, we present a faster and finer bottom-up approach of deep convolutional neural network to estimate poses of the object pool even multiple instances of the same object category present high occlusion/overlapping. Several techniques such as prediction of semantic segmentation map, multiple keypoint vector field, and 3D coordinate map, and diagonal graph clustering are proposed and combined to achieve the purpose. Experimental results and ablation studies show that the proposed system can achieve comparable accuracy at a speed of 24.7 frames per second for up to 7 objects by evaluation on the well-known Occlusion LINEMOD dataset.

关键词： 6DoF object pose estimation bottom-up approach

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Diffraction as a Resolution Enhancer visual Hyperacuity Simulation Method 22

Diffraction as a Resolution Enhancer Visual Hyperacuity Simu...

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22nd International conference on Applied Electromagnetics and communications (ICECOM)

作者： Lagunas, Adur Dominguez, Oier del Rio, Carlos Univ Publ Navarra Elect & Elect Engn Dept Antenna Grp Pamplona Spain

ISBN: (纸本)9789536037728

visual hyperacuity is the capability of the human eye to see beyond the acuity defined by the number and size of its photo receptors. Optical imaging systems suffer from diffraction since light passes through an aperture and a lens system. Common diffraction-limited devices are designed to limit this effect and capture a sharp image. Nevertheless, the human eye produces a noteworthy diffraction effect which exceeds these limits, projecting a blurred image over the retina, where photo receptors are located. On this basis, it seems difficult to understand it operating as a diffraction-limited system. Assuming that diffraction could be helpful to achieve visual hyperacuity, we present a method that intend to simulate and explain it: introducing a controlled diffraction, we are able to enhance the image resolution using post-processing techniques as interpolation and inverse filtering. Our approach uses diffraction to improve image resolution when captured with a reduced number of sensors, far from being a limiting factor.

关键词： diffraction image processing image resolution inverse problems

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Detecting novel steganography with an anomaly-based strategy

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JOURNAL OF ELECTRONIC IMAGING 2004年第4期13卷 860-870页

作者： Jackson, JT Gunsch, GH Claypoole, RL Lamont, GB USAF Res Lab Munit Directorate Eglin AFB FL 32542 USA USAF Inst Technol Dept Elect & Comp Engn Wright Patterson AFB OH 45433 USA

Popular press and congressional record report a belief by the intelligence community that Al Qaeda members communicate through messages embedded invisibly in images shared via the Internet This is certainly plausible as steganography has a rich history of military and civilian use. Current signature-based approaches for detecting the presence of hidden messages rely on discerning "footprints" of steganographic tools. Of greater recent concern is detecting the use of novel tools for which no signature has been established. This research addresses this concern by using a method for detecting anomalies in seemingly innocuous images, applying a genetic algorithm within a computational immune system to leverage powerful image processing through wavelet analysis. The sensors developed with this system demonstrated a surprising level of capability to detect the use of steganographic tools for which the system had no previous exposure, including one tool designed to be statistically stealthy. (C) 2004 SPIE and IST.

关键词： Steganography Wavelets Analytical research Statistical analysis Switches MATLAB Filtering (signal processing) image processing Steganalysis Computing systems

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Simple and Effective image Quality Assessment Based on Edge Enhanced Mean Square Error 6

Simple and Effective Image Quality Assessment Based on Edge ...

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6th International conference on Wireless communications and Signal processing (WCSP)

作者： Cui, Ziguan Gan, Zongliang Tang, Guijin Liu, Feng Zhu, Xiuchang Nanjing Univ Posts & Telecommun Image Proc & Image Commun Lab Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781479973392

Simple and effective image quality assessment (IQA) method is very desirable in many image and video processing applications, such as coding, transmission, restoration and enhancement. Classic pixel absolute error based objective IQA metrics such as mean square error (MSE) and corresponding peak signal to noise ratio (PSNR) are widely used for various applications due to low computation and clear physical meanings, but have also been criticized for poorly correlated with subjective evaluation. Inspired by that human visual system (HVS) is more sensitive to image local edge distortion than flat or texture areas, in this paper, we propose a novel edge enhanced MSE (EE-MSE) to emphasize edge distortion effects on IQA. Experimental results on LIVE database release 2 show that the proposed EE-MSE IQA metric is competitive with state-of-the-art HVS-based IQA metrics, while has lower computational complexity and is more suitable for optimization task.

关键词： image quality assessment human visual system edge enhanced mean square error

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Geometrical image filtering with connected operators and image inpainting

Geometrical image filtering with connected operators and ima...

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conference on visual communications and image processing 2007

作者： Dimiccoli, Mariella Salembier, Philippe Tech Univ Catalonia Dept Signal Theory & Commun Jordi Girona 1-3 Barcelona 08034 Spain

ISBN: (纸本)9780819466211

This paper deals with the joint use of connected operators and image inpainting for image filtering. Connected operators filter the image by merging its flat zones while preserving contour information. image inpainting restores the values of an image for a destroyed or consciously masked subregion of the image domain. In the present paper, it will be shown that image inpainting can be combined with connected operators to perform an efficient geometrical filtering technique. First, connected operators are presented and their drawbacks for certain applications are highlighted. Second, image inpainting methodology is introduced and a structural image inpainting algorithm is described. Finally, a general filtering scheme is proposed to show how the drawbacks of connected operators can be efficiently solved by structural image inpainting.

关键词： image inpainting connected operators mathematical morphology partial differential equations

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A NEW APPROACH FOR image WATERMARKING BY USING PARTICLE SWARM OPTIMIZATION

A NEW APPROACH FOR IMAGE WATERMARKING BY USING PARTICLE SWAR...

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IEEE International conference on Signal processing and communications

作者： Vahedi, Ehsan Lucas, Caro Zoroofi, Reza Aghaeizade Shiva, Mohsen Univ Tehran Sch Elect & Comp Engn Tehran 14174 Iran CIPCE Madrid Spain

ISBN: (纸本)9781424412358

In this paper, the authors propose a new procedure for copyright protection by using a bio-inspired wavelet based data hiding approach. The proposed method takes advantage of Human visual System (HVS) characteristics to provide better watermarked image quality. It also exploits visual Secret Sharing (VSS) technique to guarantee the security of the procedure. Performance improvement with respect to the existing algorithms is obtained by Particle Swarm Optimization (PSO).

关键词： Particle swarm optimization visual secret sharing watermarking wavelet transform

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Accurate image Noise Level Estimation by High Order Polynomial Local Surface Approximation and Statistical Inference

Accurate Image Noise Level Estimation by High Order Polynomi...

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IEEE visual communications and image processing conference

作者： Kou, Tingting Yang, Lei Wan, Yi Lanzhou Univ Inst Signals & Informat Proc 222 South Tianshui Rd Lanzhou Peoples R China

ISBN: (纸本)9781479961399

image noise level estimation is an important step in many image processing tasks such as denoising, compression and segmentation. Although recently proposed SVD and PCA approaches have produced the most accurate estimates so far, these linear subspace-based methods still suffer from signal contamination from the clean signal content, especially in the low noise situation. In addition, the common performance evaluation procedure currently in use treats test images as noise-free. This omits the noise already in those test images and invariably incurs a bias. In this paper we make two contributions. First, we propose a new noise level estimation method using nonlinear local surface approximation. In this method, we first approximate image noise-free content in each block using a high degree polynomial. Then the block residual variances, which follow chi squared distribution, are sorted and the upper quantile of a carefully chosen size is used for estimation. Secondly, we propose a new performance evaluation procedure that is free from the influence of the noise already present in the test images. Experimental results show that it has much improved performance than typical state-of-the-art methods in terms of both estimation accuracy and stability.

关键词： image processing noise level estimation image denoising

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