Progressive transmission of images is an important functionality for cominunicating high resolution images over limited bandwidth networks. By encoding the image data in an accessible and hierarchical format, the JPEG...
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ISBN:
(纸本)9780819469946
Progressive transmission of images is an important functionality for cominunicating high resolution images over limited bandwidth networks. By encoding the image data in an accessible and hierarchical format, the JPEG 2000 standard supports many types of image progressions, e.g., based on quality, resolution, component and position. This paper considers a progressive transmission scheme in which codestream ordering and transmission decisions are driven entirely by the server, which is useful for classes of applications that employ image analysis at the server and perform streaming based on the results of this analysis. The proposed system aims to minimize signaling overhead and allow for incremental decoding and display with minimal processing delay. It also aims to fully exploit the various styles of progression that are enabled by the JPEG 2000 coding format. The performance of our proposed scheme is reported in terms of signaling overhead, complexity and visual effectiveness.
This paper proposes a novel algorithm to accelerate the encoding procedure of fractal image compression. We develop an indexing technology to access candidate domain blocks. The location of maximal gradient is adopted...
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ISBN:
(纸本)0819437034
This paper proposes a novel algorithm to accelerate the encoding procedure of fractal image compression. We develop an indexing technology to access candidate domain blocks. The location of maximal gradient is adopted as the key for indexing. Only those blocks whose positions of maximal gradients matching that of a given range block are tested. In our experiments, the new algorithm promises good performance. It takes few seconds to encode a 512 by 512 image on a Pentium Il 450 PC with a slight loss of decoded image fidelity.
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 p...
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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.
The use of partial differential equations in imageprocessing 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 sna...
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ISBN:
(纸本)0819452114
The use of partial differential equations in imageprocessing 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.
Perceptual quality metrics derived from deep features have led to a boost in modelling the Human visual System (HVS) to perceive the quality of visual content. In this work, we study the effectiveness of fine-tuning t...
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ISBN:
(纸本)9798350350463;9798350350456
Perceptual quality metrics derived from deep features have led to a boost in modelling the Human visual System (HVS) to perceive the quality of visual content. In this work, we study the effectiveness of fine-tuning three standard convolutional neural networks (CNNs) viz. ResNet50, VGG16 and MobileNetV2 to predict the quality of stereoscopic images in the no-reference setting. This work also aims to understand the impact of using disparity maps for quality prediction. Interestingly, our experiments demonstrate that disparity maps do not significantly contribute to improving perceptual quality estimation in the deep learning framework. To the best of our knowledge, this is the first study that explores the impact of disparity along with the chosen models for Stereoscopic image Quality Assessment. We present a detailed study of our experiments with various architectural configurations on the LIVE Phase I and II datasets. Further, our results demonstrate the innate capability of deep features for quality prediction. Finally, the simple fine-tuning of the models results in solutions that compete with state-of-the-art patch-based stereoscopic image quality assessment methods.
An image sequence stabilization system that removes translational jitter while preserving intentional camera pan is presented. The video sequence is processed to acquire global camera translations from frame to frame ...
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ISBN:
(纸本)0819439886
An image sequence stabilization system that removes translational jitter while preserving intentional camera pan is presented. The video sequence is processed to acquire global camera translations from frame to frame (global interframe motion vectors) by motion estimation. The resulting motion vectors an accumulated to construct an absolute frame position vs. frame number signal. This signal is low-pass filtered to remove high frequency components caused by jitter, and retain low frequency parts representing the intentional camera pan. Correction vectors for image frames are obtained by subtracting the absolute frame position from the low-pass filtered value, and stabilization is achieved by the corresponding translation of image frames.
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 informati...
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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.
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 t...
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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.
In this paper, we introduce an unequal error protection technique for foveation-based error resilience over highly error-prone mobile networks. For point-to-point visualcommunications, visual quality can be significa...
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ISBN:
(纸本)0780362985
In this paper, we introduce an unequal error protection technique for foveation-based error resilience over highly error-prone mobile networks. For point-to-point visualcommunications, visual quality can be significantly increased by using foveation-based error resilience where each frame is divided into foveated and background layers according to the gaze direction of the human eye, and two bitstreams are generated. In an effort to increase the source throughput of foveated layer, we employ unequal delay-constrained ARQ and RCPC (rate compatible punctured convolutional) codes in H.223 Annex C. In the simulation, the visual quality is increased in the range of 0.3 dB to 1 dB over channel SNR 5 dB to 15 dB.
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...
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