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An Improved and Optimized Content-Aware Resizing Algorithm for images with Densely Situated Foreground Objects

An Improved and Optimized Content-Aware Resizing Algorithm f...

引用

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

作者： Soumyakanti Roy Tanmoy Dasgupta Tapan Pradhan Dept. of Electrical Engineering Techno India University West Bengal India

ISBN: (纸本)9781538636251

An image in general consists of a combination of significant objects in the foreground and not-so-significant objects in the background. Content aware image resizing or seam carving is a process of resizing an image while maintaining the significant objects (the foreground) in proper visual saliency. The standard algorithms, however, often generate unpredictable distortions in images with densely situated foreground objects. The optimized content aware image resizing (OCAIR) algorithm presented herein, uses iterative graph cuts and edge detection to generate an energy map based on the important sections of the image, so that the resized image does not exhibit unpredictable artefacts. An improved energy map generation algorithm is designed here, which not only marks out the important foreground elements quicker than previously available techniques, but also uses that information to quantity the amount of distortion (if any) that might take place after adding or deleting seams by means of calculating a distortion factor. The process being considerably faster than previous algorithms, allows precise modifications to the input parameters to obtain a well-doctored final image.

关键词： Distortion image segmentation visualization image resolution image edge detection Minimization Heuristic algorithms

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AUTOMATIC LEARNING OF image REPRESENTATIONS COMBINING CONTENT AND METADATA

AUTOMATIC LEARNING OF IMAGE REPRESENTATIONS COMBINING CONTEN...

引用

IEEE International conference on image processing

作者： Tomas Martinez-Cortes Ivan Gonzalez-Diaz Fernando Diaz-de-Maria Department of Signal Theory and Communications Universidad Carlos III Leganés (Madrid) Spain

Content-based image representation is a very challenging task if we restrict to their visual content. However, associated metadata (such as tags or geolocation) become a valuable source of complementary information that may help to enhance the current system performance. In this paper, we propose an automatic training framework that uses both image visual contents and metadata to fine tune deep Convolutional Neural Networks (CNNs), providing better image descriptors adapted to certain locations, such as cities or regions. Specifically, we propose to estimate some weak labels by combining visual- and location-related information and incorporate them to a novel loss-function over pairs of images. Our experiments on a landmark discovery task show that this novel training procedure enhances the performance up to a 55% over well-established CNN-based models and is free from overfitting.

关键词： visualization Metadata Task analysis Training Urban areas Global Positioning System Computational modeling

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Bit Allocation with visual Attention and visual Distortion Sensitivity 25

Bit Allocation with Visual Attention and Visual Distortion S...

引用

25th Signal processing and communications Applications conference (SIU)

作者： Pak, Mesut Bayazit, Ulug Istanbul Tech Univ Bilgisayar Muhendisligi Bolumu Istanbul Turkey

ISBN: (纸本)9781509064946

In this work, a novel bit allocation method based on visual attention and distortion sensitivity is developed for JPEG2000. Although, visual attention map for an image can be measured by using well-known saliency map methods, true visual attention map can be obtained by conducting experiments to determine fixation points and their durations. A perception model might turn these duration of fixations into visual attention levels. Besides visual attention, visual distortion sensitivity may guide the bit allocation process effectively. This is because human visual system is more sensitive to the distortion around the edges than the distortion in the complex textured areas. In this work, a novel visual distortion sensitivity method that considers all edges without using a threshold for gradient magnitude and uses local entropy of gradient orientation distribution is proposed. Thus, the visual attention and the distortion sensitivity level of each code-block determine its quantization parameters. Using bit allocation based on the visual attention map provides higher subjective evaluation score than using bit allocation based on the post compression rate-distortion optimization method or on a previously proposed method based on the saliency map. Secondly, it is shown that the use of visual distortion sensitivity allows higher objective evaluation scores to be attained.

关键词： visual perception attention human computer interaction eye fixation bit allocation visual distortion sensitivity image coding

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A Novel Edge-Preserving Mesh-Based Method for image Scaling

A Novel Edge-Preserving Mesh-Based Method for Image Scaling

引用

IEEE Pacific Rim conference on communications, Computers and Signal processing (PACRIM)

作者： Mostafavian, Seyedali Adams, Michael D. Univ Victoria Dept Elect & Comp Engn Victoria BC V8P 5C2 Canada

ISBN: (纸本)9781538607008

In this paper, we present a novel image scaling method that employs a mesh model that explicitly represents discontinuities in the image. Our method effectively addresses the problem of preserving the sharpness of edges, which has always been a challenge, during image enlargement. We use a constrained Delaunay triangulation to generate the model and an approximating function that is continuous everywhere except across the image edges (i.e., discontinuities). The model is then rasterized using a subdivision-based technique. visual comparisons and quantitative measures show that our method can greatly reduce the blurring artifacts that can arise during image enlargement and produce images that look more pleasant to human observers, compared to the well-known bilinear and bicubic methods.

关键词： image edge detection Interpolation image reconstruction Face Mesh generation visualization Computational modeling

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A Spectral Graph Based image Coding Method 25

A Spectral Graph Based Image Coding Method

引用

25th Signal processing and communications Applications conference (SIU)

作者： Yagan, Ali Cart Ozgen, Melanaet Tonkin Anadolu Univ Elekt Elekt Muhendisligi Bolumu Eskisehir Turkey

ISBN: (纸本)9781509064946

In this paper, a spectral graph based image coding method is proposed. In the proposed method, only the smoothing parameter in the graph adjacency matrix, graph Fourier transform (GFT) coefficients kept after hard thresholding and column indices of eigenvectors corresponding to kept coefficients are sent to the decoder side. It is advantageous in that this coding process is performed by sending much less information as compared to other graph based methods. Our results indicate that our proposed method enables image compression without deteriorating the visual quality by using very small numbers of GFT coefficients.

关键词： Signal processing on graphs graph Fourier transform image coding

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Automatic Segmentation of Polyps in Endoscopic image Using Level-Set Formulation

Automatic Segmentation of Polyps in Endoscopic Image Using L...

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

作者： Soumayan Dutta Pradipta Sasmal M. K. Bhuyan Yuji Iwahori Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati Guwahati India Department of Computer Science Chubu University Aichi Japan

Automatic segmentation of colorectal polyps from endoscopic images forms an interesting challenge in computer vision. The method proposed in this paper intends to segment colorectal polyp (abnormal) regions from normal regions from a given endoscopic image. Due to lack of any regular texture patterns in this kind of images and apparent visual similarity in background and foreground pixels, conventional texture feature extraction and classification methods do not always yield good results. Hence, active contour based method has been explored to automatically segment out probable abnormal region(s). Our aim is to automatically detect the probable polyp region(s) and then verify the results with respect to the ground truth. Due to lack of very definitive edge criteria along the boundaries of a polyp, we used “active contour without edges” instead of classical active contour.

关键词： Active contours image segmentation Level set image edge detection Feature extraction Endoscopes Mathematical model

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A Robust Feature Extraction Method for image-Based visual Servoing 1

引用

3rd International conference on Cognitive Systems and Information processing (ICCSIP)

作者： Qiu, Zhoujingzi Hu, Shiqiang Luo, Lingkun Tang, Fuhui Cai, Jiyuan Zhang, Hong Shanghai Jiao Tong Univ Sch Aeronaut & Astronaut Shanghai Peoples R China

ISBN: (数字)9789811052309

ISBN: (纸本)9789811052309;9789811052293

This paper deals with the visual positioning task in the image-based visual servoing. The controller is based on the discretized model of image Jacobian matrix. The visual servo controller can solve the intractable problems, such as large displacements between the initial and the desired pose of the camera. This controller can achieve a smooth and linear image trajectory in the image space. The developed IBVS controller also enhances the camera trajectory in 3-D space with time-varying depth. The proposed line feature extraction method is robust to the image noises, the dim light condition and the shadows. The simulation test is performed to validate the effectiveness of the proposed image-based visual controller and line feature extraction method.

关键词： visual positioning image-based visual servoing Smooth trajectory Time-varying depth Line feature extraction

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A Novel Error Diffusion Algorithm for Halftoning Greyscale image Using Pull Based Method

A Novel Error Diffusion Algorithm for Halftoning Greyscale I...

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International conference on communications and Signal processing

作者： Arvind Bakshi Anoop Kumar Patel National Institute of Technology Kurukshetra India

Halftoning is essentially required to print image efficiently. The objective of this vital stage of printing image processing pipeline, is to reduce the colour levels of an image without losing its original perception. It is also used for efficient storage and transmission purpose. Fundamental techniques of halftoing are as: (1) Dithering, (2) Error Diffusion, (3) Iterative algorithm. In error diffusion technique, it is a challenge to reduce the error. Proposed algorithm defines a circular filter that considers error of neighbours of a pixel for processing. It pulls the error of the neighbouring pixels, sums it to the pixel and processes the pixel. visual perception of halftone image by proposed algorithm quite satisfactory and in experiment, we demonstrated the performance of six existing algorithms and compared it with proposed one. The mean square error (MSE), root mean square error (RMSE), peak signal-to-noise ratio (PSNR), and structure similarity index map (SSIM) of output image are 1.1535e+04, 107.3990, 7.5108, 0.1221 respectively.

关键词： Quantization (signal) image edge detection Iterative methods Frequency modulation Parallel processing Signal processing algorithms Indexes

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Spatial Domain Multi-Focus image Fusion 25

Spatial Domain Multi-Focus Image Fusion

引用

25th Signal processing and communications Applications conference (SIU)

作者： Toprak, Ahmet Nusret Aslantas, Voysel Erciyes Univ Bilgisayar Muhendisligi Bolumu Kayseri Turkey

ISBN: (纸本)9781509064946

One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image. The proposed method, firstly, generate a focus map over the edges. Then, a full focus map is obtained by propagating the focus values at edge locations to the entire image. The proposed method and the state-of-the-art methods are compared in terms of both quantitative and visual evaluation. Based on the results, the proposed method outperforms the other ones.

关键词： multi-focus image fusion defocus estimation

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visual Assistance for Blind Using image processing

Visual Assistance for Blind Using Image Processing

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International conference on communications and Signal processing

作者： B Deepthi Jain Shwetha M Thakur K V Suresh Siddaganga Institute of Technology Tumakuru Karnataka India Electronics & Communication Department Siddaganaga Institute of Technology Tumakuru Karnataka India

visually impaired people face lot of difficulties in their daily life. Many a times they rely on others for help. Several technologies for assistance of visually impaired people have been developed. Among the various technologies being utilized to assist the blind, Computer Vision based solutions are emerging as one of the most promising options due to their affordability and accessibility. This paper proposes a system for visually impaired people. The proposed system aims to create a wearable visual aid for visually impaired people in which speech commands are accepted from the user. Its functionality addresses identification of objects and sign boards. This will help the visually impaired person to manage day-to-day activities and to navigate through his/her surroundings. Raspberry Pi is used to implement artificial vision using python language on the Open CV platform.

关键词： Cameras Object detection image color analysis Navigation Feature extraction Object recognition

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