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Wavelet transform has been successfully used in many applications such as image compression, image denoising, and computer vision. Recently, the research of image denoising focused on developing some new method which can represent the edge of image more efficiently. Ridgelets is a new system of representations, which deals effectively with line singularities in 2-D. In this paper, a simple algorithm...
Median filter is a well-known nonlinear filter. The key problem of the application of the median filter in image denoising is the selection of the filter window size. A larger filter window of the median filter will enhances its power in suppressing noise but in preserving edges. In this paper, a multiscale median filter is presented. The advantage of this filter is that though a large filter window...
In this paper, we present a novel automatic method for woven textile structure recognition in fiber-level. This method is based on digital image analysis techniques. It allows automatic weft yarn and warp yarn crossed-area segmentation through a spatial domain integral projection approach. Secondly, by applying unsupervised fuzzy c-means clustering on multi-scale direction invariant texture features...
In view of the speckle noise in the SAR images, utilizing the Contourlet's advantages of multiscale, localization, directionality and anisotropy, a new SAR image fusion segmentation algorithm based on the persistence and clustering in the Contourlet domain is proposed in this paper. The algorithm captures the persistence and clustering of the Contourlet transform, which is modeled by HMT and MRF,...
Wavelet transforms have been successfully used in many scientific fields such as image denoising. Ridgelets is a new system of representations, which deals effectively with line singularities in 2D. However, the discrete version of the ridgelet transform would result in either redundancy or non-reconstruction. In this paper, a pseudo ridgelet transform is developed to overcome this weakness. Since...
An improved efficient fractal algorithm, based on higher-order statistics (HOS), is presented for infrared (IR) small target detection under complex background of a single image. This algorithm is divided into two parts: coarse location and fine location. It firstly uses higher-order statistics to locate the target coarsely, and then a region of interest (ROI) containing the infrared small target...
A novel fast integer-pixel multi-pattern search algorithm is proposed in this paper. The cross search pattern (CSP) is used to get the coarse position of the best matching point, then small diamond search pattern (SDSP) or small square search pattern (SSSP) is chosen to locate the best matching point accurately according to the size of the partitioned block. In order to reduce the number of search...
A novel grey relational operator is introduced that can be viewed as an extension of the well known gradient operator. In this approach, the factors of the referential sequence are the ideal non-noise pixel and its around pixels, and the factors of the comparative sequence are the local image pixel and its around pixels. The grey relational degree can be calculated according to the grey relational...
The aim of our research is to be able to determine the tactile feeling of fabrics, sold over the Web, by using inexpensive technologies. A Grey Level Co-occurrence Matrix (GLCM) texture based fractal method is proposed to objectively evaluate the surface roughness of fabric images. The fractal dimension, which has been proved as a descriptor of tactile surface roughness, is calculated from the texture...
A cropping resistant blind digital watermarking scheme based on frame coding is designed. Two technologies, image confusion and frame coding, are used to deal with watermark information, which can enhance information security and bind the synchronous information with a watermark. Meanwhile, in DCT domain, an embedding strategy based on image fragmentation and the extracting strategy based on image...
Edge is the boundary between an object and its background. They represent the frontier for single objects. Therefore, if the edges of imagepsilas objects can be identified with precision, all the objects can be located and their properties such as area, perimeter, shape, etc, can be calculated. It is important to identify the precise edge in infrared imaging guidance system. In the full paper we explain...
The thermoelectric characterization of MOS-based resistance arrays has been studied, including the resistance array unit and the structure of resistance arrays. The MOS resistance arrays infrared image nonuniformity was explored. A novel method based on thermal image realtime compensation has been developed, which was used to temperature infrared detector units. Arrays with 64times64 units and primary...
We address the image denoising through a novel filter, which based on the grey modeling (GM). The images always are corrupted by noises, which have a bad influence on the subsequently processing. In the full paper we explain in detail how the GM effectively removes noise when image is corrupted by salt-and-pepper noise. The flag matrix, which marks the type of every pixel, can be obtained by using...
A passive blind digital image forgery detection method was proposed in this paper. Basic defocus model shows that image patches with similar distances to the lens have similar blur kernel sizes. This consistency is broken in image forgery as the result of possible blurring and different imaging conditions. Our forgery detection technique uses local blur estimation at each edge pixels to exposes the...
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