image quality assessment is always a hot research topic in the field of imageprocessing. Structural Similarity image Measurement (SSIM) is an image quality assessment algorithm with the advantages of simplicity, high...
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ISBN:
(纸本)9781479989201
image quality assessment is always a hot research topic in the field of imageprocessing. Structural Similarity image Measurement (SSIM) is an image quality assessment algorithm with the advantages of simplicity, high efficiency and better consistence. Its evaluation of performance is better than PNSR and MSE. However, it often fails when assessing badly distorted or cross distorted images. In this paper, we proposed a new method on the improved method of SSIM and the method of based on visual region of interest combination. This improved method of SSIM takes the histogram concentration as the main structural information of an image. It used histogram concentration to calculate the fuzzy degree of the image. Finally, we can obtain the structure similarity value of the image. The experiment results show that, compared with the SSIM model, the proposed RoiHSSIM model is more close to the human visual system and can access the quality of fault images more precisely.
This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates the directio...
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ISBN:
(纸本)0819450235
This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates the direction in which the image grey levels have regular variations. The image decomposition in a bandelet basis is implemented with a fast subband filtering algorithm. Bandelet bases lead to optimal approximation rates for geometrically regular images. For image compression, the bandelet basis geometry is optimized with a fast best basis algorithm. Comparisons are made for image compression with wavelet bases.
Single image deraining is an important problem in many computer vision tasks because rain streaks can severely degrade the image quality. Recently, deep convolution neural network (CNN) based single image deraining me...
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ISBN:
(纸本)9781665475921
Single image deraining is an important problem in many computer vision tasks because rain streaks can severely degrade the image quality. Recently, deep convolution neural network (CNN) based single image deraining methods have been developed with encouraging performance. However, most of these algorithms are designed by stacking convolutional layers, which encounter obstacles in learning abstract feature representation effectively and can only obtain limited features in the local region. In this paper, we propose a recurrent multi-connection fusion network (RMCFN) to remove rain streaks from single images. Specifically, the RMCFN employs two key components and multiple connections to fully utilize and transfer features. Firstly, we use a multi-scale fusion memory block (MFMB) to exploit multi-scale features and obtain long-range dependencies, which is beneficial to feed useful information to a later stage. Moreover, to efficiently capture the informative features on the transmission, we fuse the features of different levels and employ a multi-connection manner to use the information within and between stages. Finally, we develop a dual attention enhancement block (DAEB) to explore the valuable channel and spatial components and only pass further useful features. Extensive experiments verify the superiority of our method in visual effect and quantitative results compared to the state-of-the-arts.
imageprocessing operations are computational intensive and are usually solved by parallel algorithms implemented either on dedicated parallel computing devices or a network of workstations. With the increasing comput...
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ISBN:
(纸本)0819418587
imageprocessing operations are computational intensive and are usually solved by parallel algorithms implemented either on dedicated parallel computing devices or a network of workstations. With the increasing computing power of Personal Computer (PC) and better networking facilities, it is now feasible to perform distributive computing on a PC network. As the cost/performance ratio of PC is high, this provides a cost effective solution for solving imageprocessing problems. In this paper, we describe how to implement distributive imageprocessing algorithms on a peer-to-peer PC network under the WindowsNTTM operating system and the efficiency of such algorithms will be discussed.
There are several ways to display color data of a color image. In this paper we present different methods that we have developed in order to understand and to analyze color image information. These methods use traditi...
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ISBN:
(纸本)0819450235
There are several ways to display color data of a color image. In this paper we present different methods that we have developed in order to understand and to analyze color image information. These methods use traditional 2D and 3D visualization model associated with specific color transformation. We also introduce a new multidimensional visualization model usefull to analyse spatiocolorimetric data.
Fractal image Compression encodes the image at low bitrates with acceptable image quality but, the time taken for encoding is large in most of the proposals. In this paper, a Fast Search Strategy using visual-based Pa...
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ISBN:
(纸本)9781479933587
Fractal image Compression encodes the image at low bitrates with acceptable image quality but, the time taken for encoding is large in most of the proposals. In this paper, a Fast Search Strategy using visual-based Particle Swarm Optimization (CPSO) with Chaos searching is proposed to enhance the speed of fractal image encoding. The search for near best match utilizes the visual based optimization with k-restrictions and intuitive move. The evaluated suboptimum value is close to that of best match. Though the strategy is according to edge property it preserves better visual quality. Thus the CPSO-kI technique speeds up the fractal encoder by 128 times and preserves better image quality.
The application of computer technology has also brought many conveniences to people. As an important part of computer technology, the application of imageprocessing technology in visual transmission system has create...
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An algorithm for image compression, based on local histogram analysis, is presented. A given image is compressed by dividing the image into nonoverlapping square blocks and coding the edge information in each block. T...
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ISBN:
(纸本)0819424358
An algorithm for image compression, based on local histogram analysis, is presented. A given image is compressed by dividing the image into nonoverlapping square blocks and coding the edge information in each block. The edge information is extracted by first differentiating the original image, quantising the differential image, then invistigated the local histogarm of small blocks of the differential image. Depending on the behaviour of the local histograms in the differential image, the corresponding blocks in the original image are classified into visually active and visually continuous blocks. The visually continous blocks are coded using the mean value only. A visually active block is coded using the location and orientation of the edge within the block. As a result, the compression ratio of the proposed algorithm depends on the behaviour of the local histogram, which in turn depends heavely on the quantisation process of the differential image. In this paper, the effect of the quantisation of the differential image on the compression ratio and the image quality is discussed.
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 ...
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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.
Global motion estimation and compensation are important research issues in video compression. The main difficulty in global motion estimation resides in the disturbance of independently moving objects. The algorithm p...
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ISBN:
(纸本)0819424358
Global motion estimation and compensation are important research issues in video compression. The main difficulty in global motion estimation resides in the disturbance of independently moving objects. The algorithm presented in this paper exploits global motion information not only from stationary objects and the image background, but also from independently moving objects. Simulation results show that the new algorithm is more robust to the disturbance of independently moving objects, and computationally faster than an algorithm based on least-square approximation.
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