In this paper, image inpainting based on different displacement view images is proposed, which is the problem of filling in the occluded or damaged regions of an image by the visible information from other different d...
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ISBN:
(纸本)9780819469502
In this paper, image inpainting based on different displacement view images is proposed, which is the problem of filling in the occluded or damaged regions of an image by the visible information from other different displacement view images. the key problems are how to convert the visible information in different displacement view images to consistence and to use available information to repair the target image. the first step of our method is to divide all images into different scene planar regions and to transform all image regions into current view by projective transformation computed from the matched points;thus the visible information can be directly used, then a new inpainting algorithm based on image fusion with spatial frequency is applied. the experiment shows good and harmonious results for the repaired image.
MQ arithmetic coder has been adopted to achieve entropy coding in the latest image compression standard JPEG2000, which is a bit-level operation with intensive branch and feedback thus becomes a serious bottleneck of ...
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ISBN:
(纸本)9780819469519
MQ arithmetic coder has been adopted to achieve entropy coding in the latest image compression standard JPEG2000, which is a bit-level operation with intensive branch and feedback thus becomes a serious bottleneck of high speed JPEG2000. In this paper, an efficient implementation scheme for MQ coder was proposed, in which the renormalization process with BYTEOUT was performed in batch fashion instead of gradual iteration as introduced in JPEG2000. Experimental results have proved the validity of this method in decreasing computation complexity.
image fusion is an important tool for remote sensing data processing technology, as many Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectralimages. this paper prese...
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ISBN:
(纸本)9781424410651
image fusion is an important tool for remote sensing data processing technology, as many Earth observation satellites provide both high-resolution panchromatic and low-resolution multispectralimages. this paper presents a new image fusion method that combines IHS transform and curvelet transform. Experiments carried out on a Enhanced thematic Mapper Plus image show that the proposed method quantitatively outperforms state-of-the art image fusion methods, in terms of geometric, radiometric, and spectral fidelity.
作者：
Xu, KaiQin, KunLi, DerenWuhan Univ
Sch Remote Sensing Informat Engn Wuhan 430079 Peoples R China Wuhan Univ
State Key Lab Informat Engn Surveying Wuhan 430079 Peoples R China
Currently, cloud model has been successfully used in data mining, digital watermark and other fields. this paper proposes a new method of cloud synthesis which is the key technology of cloud model. Based on the new me...
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ISBN:
(纸本)9780819469502
Currently, cloud model has been successfully used in data mining, digital watermark and other fields. this paper proposes a new method of cloud synthesis which is the key technology of cloud model. Based on the new method, a novel image segmentation algorithm is proposed. Experiments show that the new method of cloud synthesis is more effective and appropriate for image segmentation, and the novel image segmentation algorithm is more effective and robust than the traditional image segmentation algorithms.
Monocular Vision is widely used in mobile robot's motion control for its simple structure and easy using. An integrated description to distinguish and tracking the specified color targets dynamically and precisely...
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ISBN:
(纸本)9780819469502
Monocular Vision is widely used in mobile robot's motion control for its simple structure and easy using. An integrated description to distinguish and tracking the specified color targets dynamically and precisely by the Monocular Vision based on the imaging principle is the major topic of the paper. the mainline is accordance withthe mechanisms of visual processing strictly, including the pretreatment and recognition processes. Specially, the color models are utilized to decrease the influence of the illumination in the paper. Some applied algorithms based on the practical application are used for image segmentation and clustering. After recognizing the target, however the monocular camera can't get depth information directly, 3D Reconstruction Principle is used to calculate the distance and direction from robot to target. To emend monocular camera reading, the laser is used after vision measuring. At last, a vision servo system is designed to realize the robot's dynamic tracking to the moving target.
this paper presents a fusion method for multi-focus images to produce a new clear image for the scene. First we analyze the defocused image formation process and obtain a set of ill-posed equations. By imposing some c...
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ISBN:
(纸本)9780819469519
this paper presents a fusion method for multi-focus images to produce a new clear image for the scene. First we analyze the defocused image formation process and obtain a set of ill-posed equations. By imposing some constraints, they become well-posed and the fusion task is converted to a simple optimization problem. then the optimization problem, which minimizes the gradient difference and intensity difference with respect to the objective gradient field and intensity constraints, is equivalent to the optimal fusion method for multispectralimage fusion. So we construct the objective gradient field and the intensity constraints by clarity analysis and model change respectively and obtain the minimization result by the iterative optimization steps of optimal fusion. At last, the experiments convincingly demonstrated that the proposed method has better tolerance to misalignment and noises than wavelet fusion.
IR Scene simulation has been an important way to design and assess the IR sensor, and the key of simulation is the generation of IR scene image. Based on OpenGL, the method of IR image generation is proposed. the geom...
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ISBN:
(纸本)9780819469502
IR Scene simulation has been an important way to design and assess the IR sensor, and the key of simulation is the generation of IR scene image. Based on OpenGL, the method of IR image generation is proposed. the geometry model is constructed with professional CAD software, and the observer location is determined after scene transformation. the full infrared model of space target is built based on infrared physics and heat transfer, which includes the radiation, convection, conduction between different parts of the space target, and which also includes the radiation, convection of environment. Radiance of space target is converted to gray value, and properties of scene are defined according to the gray level. After a series of processing, dynamic IR images are generated withthe technology of double buffering.
A semi-blind image restoration approach is put forward in this paper for light-microscopy system. Microscope creates unavoidable light artefacts because of the Point Spread Function (PSF) of the optical system, and ou...
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ISBN:
(纸本)9780819469502
A semi-blind image restoration approach is put forward in this paper for light-microscopy system. Microscope creates unavoidable light artefacts because of the Point Spread Function (PSF) of the optical system, and our early research shows that PSF of the microscopy system can be modeled as isotropic Gaussian blur. that is the motivation of this paper. We present an algorithm, based on functional minimization, which integrates Canny edge detection with semi-blind deconvolution. An alternating minimization (AM) implicit iterative scheme is devised to recover the image and simultaneously identify PSF. Good performance is observed with numerically blurred images and really microscopic images, even under the presence of high noise level.
An improved local RX anomaly detection algorithm is proposed. It firstly projects the images onto the background orthogonal subspace to make local data closer to multivariate normal distribution. then for every tested...
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ISBN:
(纸本)9780819469519
An improved local RX anomaly detection algorithm is proposed. It firstly projects the images onto the background orthogonal subspace to make local data closer to multivariate normal distribution. then for every tested pixel in the center of the sliding local window, the bands used in RX detector are chosen adaptively. To avoid the influence of anomaly information on the background characteristic statistic, the anomalous pixels in the local background are removed and the covariance matrix is calculated using real background pixels. Finally the RX detector is used to calculate the anomalous degree of every tested pixel. Experimental results indicate it is robust and has good anomaly detection performances under complex unknown background.
this paper presents a new method for image filtering process, an adaptive Wiener filter, which is based on wavelet transform. the filter provided uses threshold mode filtering as its precursor. the pertinence between ...
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ISBN:
(纸本)9780819469502
this paper presents a new method for image filtering process, an adaptive Wiener filter, which is based on wavelet transform. the filter provided uses threshold mode filtering as its precursor. the pertinence between wavelet coefficients is taken into consideration in the process of determining the threshold quantities, which makes the filter adaptive. the result of the threshold mode filter is then processed by Wiener filtering model. the whole image filtering system is composed of threshold mode filtering based on wavelet transform as well as Wiener filtering technique. What's more, the performance is also an important subject. And it gives a better smooth filtering result.
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