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Human visual System Inspired Color Space Transform in Lossy JPEG 2000 and JPEG XR Compression 13th

Human Visual System Inspired Color Space Transform in Lossy ...

引用

13th International Scientific conference on Beyond Databases, Architectures and Structures (BDAS)

作者： Starosolski, Roman Silesian Tech Univ Inst Informat Akad 16 PL-44100 Gliwice Poland

ISBN: (纸本)9783319582740

In this paper, we present a very simple color space transform HVSCT inspired by an actual analog transform performed by the human visual system. We evaluate the applicability of the transform to lossy image compression by comparing it, in the cases of JPEG 2000 and JPEG-XR coding, to the ICT/YCbCr and YCoCg transforms for 3 sets of test images. The presented transform is competitive, especially for high-quality or near-lossless compression. In general, while the HVSCT transform results in PSNR close to YCoCg and better than the most commonly used YCbCr transform, at the highest bitrates it is in many cases the best among the tested transforms. The HVSCT applicability reaches beyond the compressed image storage;as its components are closer to the components transmitted to the human brain via the optic nerve than the components of traditional transforms, it may be effective for algorithms aimed at mimicking the effects of processing done by the human visual system, e.g., for image recognition, retrieval, or image analysis for data mining.

关键词： image processing Color space transform Human visual system Bio-inspired computations Lossy image compression ICT YCbCr YCoCg LDgEb image compression standards JPEG 2000 JPEG XR

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The Bag-of-Words Methods with Pareto-Fronts for Similar image Retrieval 23rd

The Bag-of-Words Methods with Pareto-Fronts for Similar Imag...

引用

23rd International conference on Information and Software Technologies (ICIST)

作者： Gabryel, Marcin Czestochowa Tech Univ Inst Computat Intelligence Al Armii Krajowej 36 PL-42200 Czestochowa Poland

ISBN: (纸本)9783319676425;9783319676418

This paper presents an algorithm for similar image retrieval which is based on the Bag-of-Words model. In Computer Vision the classic BoW algorithm is mainly used in image classification. Its operation is based on processing of one image, creating a visual words dictionary, and specifying the class to which a query image belongs. In the presented modification of the BoW algorithm two different image feature have been chosen, namely a visual words' occurrence frequency histogram and a color histogram. As a result, using multi-criteria comparison, which so far has not been used in the BoW algorithms, a set of images similar to a query image is obtained, which is located on the Pareto-optimal non-dominated solutions front.

关键词： image features Bag-of-Words Multi-objective optimization

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Bag-of-Spatial Words(BoSW)Framework for Predicting SAR image Registration in Real Time Applications 7

Bag-of-Spatial Words(BoSW)Framework for Predicting SAR Image...

引用

7th International conference on Advances in Computing and communications (ICACC)

作者： Sirisha, B. Sandhya, B. Paidimarry, Chandra Sekhar Sastry, A. S. Chandrasekhara KL Univ Dept Elect & Commun Engn Guntur AP India MVSR Engn Coll Dept Comp Sci & Engn Hyderabad Andhra Pradesh India Osmania Univ UCE Dept Elect & Commun Engn Hyderabad Andhra Pradesh India

SAR image registration is a precursor for several remote sensing applications, which need precise spatial transformation between the real time moving image and fixed off-line image. In such applications, the processing time in finding whether the moving images can be registered with fixed image constitute an overhead. Hence we have approached the problem by trying to predict if the given SAR images can be registered or not even without registering them. The proposed image registration approach incorporates a classifier into the standard pipeline of feature based image registration. The attributes for the classifier model are derived from fusing the spatial parameters of the feature detector to the descriptor vector in bag of visual words framework. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： image Registration Feature Detection Feature Description Bag of visual words Classification

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Efficient 3D liver segmentation using enhanced image alignment

Efficient 3D liver segmentation using enhanced image alignme...

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conference on Information Communication Technology and Society (ICTAS)

作者： Anura Hiraman Serestina Viriri Mandlenkosi Gwetu Statistics and Computer Science University of KwaZulu-Natal Durban South Africa

An efficient and fully automated algorithm for the alignment of serially acquired 2D slices forming a 3D volume is presented. The methodology includes four stages: pre-processing using a median filter, obtaining a threshold value via a Laplacian weighted histogram, skeletonization and image alignment. The introduction of the skeletonization in this approach ensures that the images are being aligned with respect to the bones and large organs. The image alignment algorithm relies on the Enhanced Correlation Coefficient (ECC) alignment algorithm. The presented approach is evaluated on the Medical image Computing and Computer Assisted Intervention (MICCAI) 2007 grand challenge datasets and the evaluation metric used is mean squared difference (MSD). The proposed approach proved to perform well and achieved an improvement in the MS D by an average of 32.85%.

关键词： Liver Three-dimensional displays Histograms Laplace equations Computed tomography image segmentation Biomedical imaging

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Least Square Denoising in Spectral Domain for Hyperspectral images 7

Least Square Denoising in Spectral Domain for Hyperspectral ...

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7th International conference on Advances in Computing and communications (ICACC)

作者： Jayaprakash, Chippy Jacob, Naveen Varghese Renu, R. K. Sowmya, V Soman, K. P. Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn Ctr Computat Engn & Networking CEN Coimbatore Tamil Nadu India

Denoising is one of the fundamental pre-processing tasks in image processing that improves the quality of the information in the image. processing of hyperspectral images requires high computational power and time. In this paper, a denoising technique based on least square weighted regularization in the spectral domain is proposed. The proposed technique is experimented on standard hyperspectral datasets and also, the performance of the proposed least square denoising in spectral domain is compared with least square weighted regularization in the spatial domain and total variation based denoising method. The obtained results in terms of computational time, Signal-to-Noise Ratio calculations and visual interpretation depicts that the proposed technique performs comparably better than the existing methods such as least square and total variation based hyperspectral image denoising. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： Pre-processing technique Least square weighted regularization Spectral domain Hyperspectral image Denoising SNR Total variation

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Interest Point Detection Based on Laplacian Energy of Local image Network 2

Interest Point Detection Based on Laplacian Energy of Local ...

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2nd IEEE International conference on Wireless communications, Signal processing and Networking (WiSPNET)

作者： Pournami, P. N. Govindan, V. K. Natl Inst Technol Calicut Dept Comp Sci & Engn Calicut Kerala India IIIT Kottayam Dept Comp Sci & Engn Kottayam Kerala India

ISBN: (纸本)9781509044429

A point of interest is the characteristic of an image which can be robustly detected due to its well-defined position. The points of interest should be easily computable and are invariant to transformations in the image domain. This paper presents a novel interest point detector based on a graph centrality measure defined over the Laplacian energy of the local image network. The proposed method considers the local circular neighborhood of each pixel and associates this with an undirected graph or network. Euclidean distance is employed to connect pixels to form graph edges. The Laplacian energy of the graph will drop when a vertex is removed from it. This relative reduction indicates the significance of that vertex in the network. Graph vertices having higher values of Laplacian centrality are identified as central most nodes. This measure of pixel significance indicates the presence of interest points. The effectiveness and robustness of the proposed approach in detecting local points of high entropy values are demonstrated by the experiments conducted on standard datasets. The visual assessment of the identified interest points correlates with the coverage value calculated. Moreover, the proposed method shows stable results in the presence of geometric transformations such as rotation, viewpoint changes, and zooms. These results provide substantial evidence of the proposed interest point detector's utility in image processing applications such as image registration, object recognition, and image matching, etc.

关键词： Graph centrality image Registration Interest points Laplacian energy

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Subjective image Quality Assessment Optimization 8th

引用

8th International conference on image processing and communications (IP&C)

作者： Lewandowska (Tomaszewska), Anna West Pomeranian Univ Technol Fac Comp Sci & Informat Technol Zolnierska 49 PL-71210 Szczecin Poland

ISBN: (纸本)9783319472744;9783319472737

As the results of computer algorithms methods are often visual, image quality assessment is one of its central problems. To provide a convincing proof that a new method is better than the state-of-theart the image quality assessment should be employed. Therefore image based projects are often accompanied by user studies, in which a group of observers rank or rate results of several algorithms. Unfortunately the problem posed by subjective experiments is their time-consuming and expensive nature. This paper is intended to present how to make the subjective experiments less expensive and therefore more usable.

关键词： image quality assessment User-study Scene understanding Computer vision

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Stitches Generation for Random-Needle Embroidery Based on Markov Chain Model 19th

Stitches Generation for Random-Needle Embroidery Based on Ma...

引用

19th Pacific-Rim conference on Multimedia (PCM)

作者： Ma, Chen Sun, Zhengxing Wu, Hao Guo, Yuqi Nanjing Univ State Key Lab Novel Software Technol Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783030007645;9783030007638

We present a new stylization method to generate Random-needle Embroidery stitches which is a graceful Chinese embroidery art formed by intersecting stitches. First, we model the intersecting stitch and initialize stitches positions and directions for regions. The Markov chain model is used to select similar intersecting stitches for filling each region to avoid artifacts in local area. Then a hierarchical iterative stitches generation process is used to keep the characteristic of multi-layering of stitches. Finally, top layer stitches in each iteration of the generation process are slightly moved according to bottom stitches by a Lloyd's method based approach to make stitches maintain the characteristic of uniform distribution. Experiments show that our result stitches can avoid artifacts in local area and maintain the uniformity and multi-layering at the same time. Comparing with the state-of-the-art methods, our result stitches have a richer visual effect.

关键词： image-based artistic rendering Random-needle embroidery Markov chain model Lloyd's method

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image Stitching using Multiple Homographies Estimated by Segmented Regions for Different Parallaxes

Image Stitching using Multiple Homographies Estimated by Seg...

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International conference on Vision, image and Signal processing ICVISP

作者： Lee, Daeho Yoon, Jaeyoung Lim, Sunggyel Kyung Hee Univ Humanitas Coll Yogin South Korea Kyung Hee Univ Dept Elect Engn Yogin South Korea

ISBN: (纸本)9781538606124

We propose a novel image stitching method using multiple homographies. The method can stitch images having different parallaxes, such as an image that contains distant buildings and close trees. Such images might not be stitched with fine quality by single global homography. Therefore, we select a background homography by analyzing the inliers of the homographies estimated by RANSAC (random sample consensus) for leave-one-out segmented regions, and the left segmented region of the background homography is designated as an object region. Then, the object homography is estimated by the object region. Using these multiple homographies, image stitching and multi-band blending are performed. With this method, images having different parallaxes are stitched with higher visual quality than with other methods using single homography and multiple homographies.

关键词： image stitching multiple homographies different parallaxes

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Fast image denoising based on modify CNN and noise estimation

Fast image denoising based on modify CNN and noise estimatio...

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2017 Annual conference on New Trends in Information and communications Technology Applications, NTICT 2017

作者： Hoomod, Haider Kadiam Dawood, Saja Hikmat Computer Science Dept University of Al-Mustansriyhia Iraq Software EngineeringDept Institute for Postgraduate Studies UOITC Iraq

ISBN: (纸本)9781538629628

Artificial neural networks (ANNs) have been applied in many areas successfully because of their ability to learn, ease of implementation and fast real-Time operation. In this research, there are proposed two algorithms. The first is cellular neural network (CNN) with noise level estimation. While the second is modify cellular neural network with noise level estimation. The proposed CNN modification is by adding the Rossler chaos to the CNN fed. Noise level algorithm were used to image noise removal approach in order to get a good image denoising processing with high quality image visual and statistical measures. The results of the proposed system show that the combination of chaos CNN with noise level estimation gives acceptable PSNR and RMSE with a best quality visual vision and small computational time. © 2017 IEEE.

关键词： image denoising

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