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This paper presents an adaptive watermarking algorithm based on wavelet edge detection. The scheme compares the "edge and texture information after wavelet packet transforming" with the "sample through edge detection" of the host image to look for the most similar ones, which are quite right the most appropriate ones to embed watermark. And then computes embedded depth adoptively...
Image registration is a fundamental problem for applications in remote sensing. In this paper, a new coarse-to-fine registration framework is proposed. In coarse registration step, Quantum Particle Swarm Optimization (QPSO) is used as optimizer to find best rigid parameters. The similarity measure is the Mutual Information (MI) of whole images. This method is valid under various displacements. In...
Based on wavelet multiresolution analysis theory, medical image are analyzed. Each wavelet coefficient is viewed as an observation and is judged if it belongs to the wavelet transform modulus maximum(WTMM). Then we employ an extended Ostu threshold algorithm to determine the global and multilevel thresholds so as to delete those false modulus maximum points with gray level values of pixels less than...
Rock bolt is one of the most important methods in rock engineering for ground stabilization and the anchorage quality is of the most concern in the field. The characterization of bolts is always evaluated by pullout or torque wrench test which are destructive or inaccurate. It is proposed that some nondestructive methods for testing rock bolt anchors has been preliminary tested in the laboratory and...
Active contours, or snakes, have been used widely for image segmentation. A novel method incorporating geodesic curves and region information is introduced. The extra region force gives the active contour model a global complementary view of the boundary information within the image. The proposed method incorporates edge information, namely edgeflow, into active contours. We refer to this as edgeflow-driven...
Visual attention plays a vital role for humans to understand a scene by intuitively emphasizing some focused objects, and recent work in the model of visual attention has demonstrated that a purely bottom-up approach to identify salient regions within an image can be successfully applied to diverse problems. Being aware of this, a novel approach of extracting objects of interest (OOIs) based on attention-driven...
A new pixel-based fusion approach for multi-focus images is proposed. To distinguish between the blurry and clear areas from the multifocus images, a block is defined for each pixel of images with the pixels as its center, and a blurring measure model is proposed to estimate the blurring levels of every point on the source images. Furthermore, to reduce the measure error on the points near the boundaries...
In fog weather, Images captured by outdoor surveillance system degrade significantly and suffer from poor contrast. This paper presents an improved algorithm for enhancing fog-degraded image contrast in which a moving mask is used. By assuming the pixels in a mask having same scene depth, the algorithm applies the modified partially overlapped sub-block histogram equalization to implement contrast...
A new image denoising approach based on undecimated discrete wavelet transform (UDWT) is proposed. The proposed method combines a technique of cone of influence (COI) analyzing and UDWT. Therefore it can effectively remove the impulse noise and preserve the image edges. Furthermore, combining with the traditional wavelet thresholding denoising method, it can be used to well decrease more widely type...
Two efficient edge-detecting operators are introduced. They are both based on templates derived from a 3 x 3 magic square, one operator can obtain edge gradient map with more continuous histogram, and the other can detect different edge directions efficiently. Experiments implemented based on the famous standard image Lena have shown the validity of the two approaches. This paper not only presents...
Based on the characteristic of dyadic wavelet transform to image denoising , this paper presents that denoising precision can be improved by the way that adopting different thresholds according to the different scales of the wavelet coefficients of image and noise to establish the self-adjusted layered threshold function which adapts to it and reconstruct the wavelet. The experiment shows that by...
Key-frames are representative frames in a shot. With key frames, video information can be efficiently managed in retrieval and indexing. In view of the scenery video characteristic and the user attention focus, this paper proposed a new semantic based key frame extraction method. First according to the amplitude and the angle of P frame's motion vector, the shot motion is judged; and then according...
A fast image denoising algorithm based on probability wavelet shrinkage is proposed. Stationary wavelet transform coefficients were shrunken by posterior probability of being a signal according to Bayes' rule. Instead of various sophisticated probability distribution models, the simple standard Gaussian model was used to describe prior distribution of noise-free wavelet coefficients. Experimental...
It is well known that independent component analysis (ICA) is a useful method for blind source separation although it does have some drawbacks, such as performing poorly on unsteady sounds. In this study, in order to improve this deficiency, a new method combining ICA with the complex discrete wavelet transform is proposed and verification of source separation with relation to the problems of permutation...
Spatial domain based super-resolution reconstruction techniques, which were designed for uncompressed video to produce high-resolution image or image sequences, may not work well when applied directly to compressed videos, especially to those with severe quantization errors. Here a reconstruction approach designed for videos or image sequences, which were compressed using DWT-based techniques, is...
This paper compared the performances of the two wavelet lifting schemes when they were used to enhance temporal scalability for video coding. In the first scheme the motion vectors are estimated along double direction (forward and backward) between the two adjacent frames. However, in the second method, the motion vectors are got along one direction between the two adjacent frames. The three factors,...
For the novelties or anomalies of faulty signals occur in a damage circuit and fault signals vary with different circuit damages. To ensure the accuracy and reliability of diagnosis, it is very important to extract the characteristic features of fault signals. Two feature extraction methods based on wavelet packet transform is proposed to treat transient signals: optimal wavelet packet transform (OWPT)...
In the field of multiple classifiers combination, diversity among member classifiers is known to be a necessary condition for improving ensemble performance. In this paper we use different types of member classifiers based on heterogeneous features to increase the diversity when we implement the multiple classifier system (MCS). Member classifiers adopted in this paper include the k-NN classifier...
An approach to implementing multiple classifiers fusion based on evidence combination is proposed in this paper. The member classifiers are designed based on the multi-class SVM. In common, the output of multi-class SVM classifier is just the label of class. Based on the confusion matrix and the class-wise performance, we propose a novel approach to generating the mass functions, which can reduce...
A new distance estimation method for robot autonomous localization from high-dimensional camera images is proposed based on 4 popular manifold learning algorithms. The camera images are supposed to embed in a high-dimensional manifold, and then the dimension is reduced to estimate the corresponding coordinate of the robot. Two experiments show that the distance is estimated regardless of the illumination,...
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