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3D robot perception with Point Cloud Library

ROBOTICS AND AUTONOMOUS SYSTEMS 2016年 78卷 97-99页

作者： Munaro, Matteo Rusu, Radu B. Menegatti, Emanuele Univ Padua Sch Engn Dept Informat Engn DEI Intelligent Autonomous Syst Lab Via Gradenigo 6-a I-35131 Padua Italy Open Percept Inc 68 Willow Rd Menlo Pk CA 94025 USA

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Evaluation of chroma subsampling for high dynamic range video compression

Evaluation of chroma subsampling for high dynamic range vide...

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IEEE International conference on Electronics, Circuits and Systems (ICECS)

作者： Ronan Boitard Mahsa T. Pourazad Panos Nasiopoulos University of British Columbia Vancouver Canada TELUS Communications Inc. Vancouver Canada

ISBN: (纸本)9781509061143

Subsampling chroma channels of video content is a processing performed in most video distribution pipelines. In such pipelines, chroma subsampled content also undergoes video coding, using a codec, before being distributed. Presently, it is common practice to optimize compression efficiency and visual quality of content with respect to its subsampled version rather than the original one. Although this may suffice for traditional imagery, it is unclear if emerging technologies such as Wide Color Gamut and High Dynamic Range are more sensitive to quality loss due to chroma subsampling. In this article, we assess the efficiency of chroma subsampling when compressing HDR content. We compare the performance of two different downsampling filters against the full chroma sampling. Objective results show that distributing 4:4:4 is more efficient than its 4:2:0 counterpart at medium to high bit-rates. For low bit-rates, this increase in efficiency is reduced and in some cases even reversed.

关键词： Transform coding Color Pipelines Encoding Dynamic range image color analysis Distortion

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ARITM: A Perceptual Quality Magnification of Noise Suppressed Digital images using Adaptive Recursion and image Transformation Model

ARITM: A Perceptual Quality Magnification of Noise Suppresse...

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Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International conference on

作者： K. Kannan G. Divya L. Chithra V. Aruna V. Mohanavel Department of ECE R.M.K. College of Engineering and Technology Puduvoyal Chennai Department of Networking and Communications Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Chennai India Department of ECE S.A.Engineering College Chennai Department of ECE Panimalar Engineering College Chennai Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Chennai Tamil Nadu India Department of Mechanical Engineering Chandigarh University Mohali Punjab India

In the realm of digital image processing and enhancement, the relentless pursuit of achieving higher perceptual quality in noise-suppressed images has remained a compelling challenge. This abstract presents a novel approach that leverages the synergy between adaptive recursion and a sophisticated image transformation model to magnify the perceptual quality of noise-suppressed digital images. The proliferation of digital imagery in various applications, from medical diagnostics to multimedia content, necessitates the development of advanced techniques to preserve and enhance image fidelity. While noise suppression techniques have made significant strides in reducing unwanted artifacts, they often introduce trade-offs between noise reduction and preservation of image details. Our proposed method begins by employing adaptive recursion, where the image is divided into local regions, each analyzed independently for noise characteristics and visual features. Adaptive recursion ensures that noise reduction is applied selectively, preserving important image details, even in challenging scenarios. The synergy between adaptive recursion and the image transformation model is a key highlight of our approach. By iteratively applying the transformation model within each local region, we adaptively enhance image features that contribute to perceptual quality, such as sharpness, contrast, and color fidelity. This adaptive enhancement process ensures that image details are magnified while suppressing noise artifacts, ultimately resulting in images of superior perceptual quality. Our experimental results, conducted on diverse datasets with various levels of noise, demonstrate significant improvements in perceptual quality compared to state-of-the-art methods. Additionally, we evaluate the computational efficiency of our approach, highlighting its feasibility for real-time and high-throughput image enhancement applications.

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A new sampling scheme for high-sensitivity, extended-dynamic-range complementary metal oxide semiconductor (CMOS) imaging pixel sensors

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JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS BRIEF communications & REVIEW PAPERS 2003年第4B期42卷 2159-2162页

作者： Li, SR Lai, CH King, YC Natl Tsing Hua Univ Dept Elect Engn Semicond Technol Applicat Res STAR Grp Microelect Lab Hsinchu 300 Taiwan

A new sampling scheme for extending the dynamic range of a high-sensitivity complementary metal oxide semiconductor (CMOS) image sensor is proposed. The photodiode-type CMOS pixel imager, consisting of a transfer gate transistor for transporting photoelectrons from a sensing region to a readout region, is highly sensitive but suffers form a poor dynamic range. The new sampling scheme and a ratiometric processing circuit can improve the dynamic range of the pixel imager by about 24 dB by making use of the photo response of the readout node. Optimization of the sensing region area/readout region area can be applied to specific applications such as low-light imaging and high-speed imaging applications. Experimental results indicate that this pixel can maintain high sensitivity at low illumination while obtaining an extended dynamic range, about 10 dB higher than that of the conventional 3-transistor (3-T) photodiode-type CMOS pixel imager.

关键词： CMOS imager sampling scheme sensitivity dynamic range transfer gate ratiometric processing circuit

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An Integrated Model for Generating 3D Point Clouds and Segmentation from 2D images

An Integrated Model for Generating 3D Point Clouds and Segme...

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International conference on Imaging, Signal processing and Communication (ICISPC)

作者： Huan-Yu Chen Chuen-Horng Lin Yan-Yu Lin Yung-Kuan Chan Department of Computer Science and Information Engineering National Taichung University of Science and Technology No. 129 Sec.3 Sanmin Rd Taichung Taiwan R.O.C Department of Management Information Systems National Chung Hsing University 145 Xingda Rd.South Dist Taichung Taiwan R.O.C

ISBN: (数字)9798350367157

ISBN: (纸本)9798350367164

This study presents a cost-effective approach to constructing simulation systems by integrating 2D visual processing with neural network technology for simultaneous 3D point cloud generation and part segmentation, thereby reducing time and costs. We propose multiple task-specific models using 2D RGB images, incorporating attention mechanisms, feature encoding, decoding layers, and innovative loss functions. The optimal models are merged to form an integrated system, evaluated using public and self-built datasets. Our experiments demonstrate that the integrated model effectively reduces training time and Floating Point Operations (FLOP) values while maintaining high accuracy in Critical Hole Distance (CHD), Earth Mover’s Distance (EMD), and Intersection over Union (IOU) metrics. This advancement enhances applications in military training, aerospace technology, and disaster response simulation, facilitating faster 3D object construction.

关键词： Training Point cloud compression image segmentation Solid modeling Adaptation models visualization Three-dimensional displays

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High Capacity Steganographic Method Using JPEG-Compressed images

High Capacity Steganographic Method Using JPEG-Compressed Im...

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2011 IEEE International conference on Information Theory and Information Security(ICITIS 2011)

作者： Xiuze Dong 1) ,2),3) , Ru Zhang, 1),3) , Xinxin Niu 1) , Yixian Yang 1) 1) Information Security Center, Beijing University of Posts and Telecommunications, Beijing, China 2) Beijing Electronic Science and Technology Institute, Beijing, China 2) Key Laboratory of Information Network Security, Ministry of Public Security, Shanghai, China

In this paper, a novel steganographic method based on joint photographic expert-group (JPEG) is proposed. The proposed method embeds two secret bits into each middle frequency coefficient using the least two-significant bits (2- LSBs). For the rest coefficients, the quantization error, resulting from processing the JPEG-compressed image, is compensated while embedding variable-length secret bits. At last, a JPEG stego-image is generated using the quality factor with the value of 100. Experimental results show that, the proposed steganographic method can provide a high information hiding capacity and keep the visual quality well.

关键词： Steganography Cover-image Stego-image

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Evaluation of noise effects in spiral MRI image reconstruction using perceptual difference model (PDM)

Evaluation of noise effects in spiral MRI image reconstructi...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Donglai Huo D.L. Wilson K.A. Salem H. Moriguchi Department of Biomedical Engineering Case Western Reserve University OH USA Department of Radiology University Hospitals of Cleveland and Case Western Reserve University OH USA Siemens Medical Solutions Inc. PA USA

Spiral sampling of k-space is a popular magnetic resonance imaging (MRI) technique. A variety of choices are available for optimizing the spiral trajectory and reconstruction methods. To evaluate the effects of noise on these choices, we used a Perceptual Difference Model (PDM), which evaluates the image quality by calculating the visual difference between a "test image" and a "gold standard image". We simulated images from six different interleave patterns, seven different sampling levels, four different density compensation methods, and three different reconstruction options under three noise levels. Noise effects were separated from reconstruction errors by comparing results to those from a noise-free spiral acquisition. Comparing many different conditions, Voronoi (VOR) plus conventional regridding was good for high SNR data. In low SNR conditions, Area Density Function (ADF) was better. One can also quantitatively compare different acquisition parameters; smaller numbers of interleaves and high number of samples were very desirable when noise was applied. We conclude that PDM scoring provides an objective, useful tool for the assessment of spiral MR image quality and can greatly aid the design of MR acquisition and signal processing strategies.

关键词： Spirals Magnetic resonance imaging image reconstruction Magnetic noise image sampling image quality Signal to noise ratio Optimization methods Reconstruction algorithms Testing

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A computational model of neural contour processing: figure-ground segregation and illusory contours

A computational model of neural contour processing: figure-g...

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Proceedings of the From Perception to Action conference

作者： F. Heitger R. von der Heydt O. Kubler Communication Technology Laboratory Swiss Federal Institute of Technology Zurich Switzerland Department of Neuroscience Johns Hopkins School of Medicine Baltimore MD USA

We present a computational model of contour processing that was suggested by neurophysiological recordings from the monkey visual cortex. The model employs convolutions and nonlinear operations, but no feedback loops. Contours are defined by the local maxima of the responses of a contour operator that sums a representation of contrast borders and a "grouping signal". The grouping consists in convolving a representation of "key points", such as T-junctions, corners, and line ends, with a set of orientation selective kernels, and a nonlinear pairing operation. The grouping scheme is selective according to whether the configuration of key points is consistent with the interpretation of occlusion. The resulting contour representation includes an indicator of figure ground direction. We show: that the model reproduces illusory contours in accurate agreement with perception; and generates representations of occluding contours on images of natural scenes that are more complete and less cluttered by spurious connections of foreground and background than those obtained by conventional edge detection operators.

关键词： Computational modeling Layout image edge detection Brain modeling communications technology Laboratories Electronic mail Convolution Feedback loop Kernel

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Accommodation and Vergence Responses to Electronic Holographic Displays Compared with Those to Stereoscopic Displays

Accommodation and Vergence Responses to Electronic Holograph...

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conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Haruki Mizushina Ippei Negishi Junya Nakamura Yasuhiro Takaki Hiroshi Ando Shinobu Masaki Tokushima University Tokushima Japan Kanazawa Institute of Technology Ishikawa Japan Tokyo University of Agriculture and Technology Tokyo Japan National Institute of Information and Communications Technology Osaka Japan Advanced Telecommunications Research Institute International Kyoto Japan

ISBN: (纸本)9781728164021

Electronic holography is an ideal 3D display technique to ameliorate vergence-accommodation conflict, which is a possible cause of visual fatigue and discomfort from viewing conventional stereoscopic 3D displays. Previous studies have measured accommodative and vergence responses to holographic images and real objects, and reported that they are in good agreement. To demonstrate the effectiveness of electronic holography as a solution of vergence-accommodation conflict caused by viewing conventional stereoscopic 3D displays, we measured accommodative and vergence responses to reconstructed images of holograms and two-view stereoscopic images. We also measured responses to real objects located at various distances as a baseline condition. The results indicate that the accommodative response to the electro-holographic display changes with the vergence response in a similar manner, as is the case with real objects as compared to conventional two-view stereo display. This suggests that the holographic display technology is a promising candidate for resolving the vergence-accommodation conflict.

关键词： visualization Three-dimensional displays image resolution Stereo image processing Industry applications Virtual reality Human factors

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A Review on Feature Extraction Techniques in Content Based image Retrieval

A Review on Feature Extraction Techniques in Content Based I...

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International conference on Wireless communications, Signal processing and Networking

作者： Jigisha M. Patel Nikunj C. Gamit Department of Computer Engineering C.G.P.I.T Uka Tarsadia University Bardoli India

ISBN: (纸本)9781467393393

The Content Based image retrieval (CBIR) is a very important for retrieving the most visual relevant images from the large image database. The various low level features are extracted based on their visual content which are color, shape, texture etc. The paper gives the overview of color and texture feature extraction techniques like color histogram, color correlogram, color co-occurrence matrix and tamura texture feature, steerable pyramid, wavelet transform, Gabor wavelet transform respectively and also the comparative analysis of this techniques is shown in the paper.

关键词： CBIR Feature extraction Color histogram Color correlogram DCD CCM Tamura feature Wavelet transform GWT

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