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Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
Hidden Markov Random Field (HMRF) model and Finite Mixture Model (FMM) parameter estimation algorithm provides an interesting framework for image segmentation task, hence a technique that capitalizes on the benefits of both algorithms would achieve better performance. In this regard, we propose a new segmentation algorithm which combines with HMRF model and FMM parameter estimation algorithm. Firstly,...
In order to overcome the shortcoming of the soft-threshold denosing method in curvelet domain, which may cause edges blurred, a new denoising method based on the edge features of the given image is proposed. In this method, we make full use of the anisotropie advantages of curvelet, extract the detail and edge information from the low-frequency domain and restore it, which can prevent the destruction...
Copyright protection of digital images has drawn much attention owing to fast development of the internet in recent years. In this paper a new robust digital image watermarking algorithm based on joint DWT-DCT transformation is proposed. This algorithm combines the visual characteristics of low frequency sub-image of DWT and the ability of DCT to remove correlation between DWT coefficients. Hence...
In this paper, a license plate location algorithm, fused texture characteristics and color information are proposed, where the license plate characteristics of structure and color are fused based on the fixed color collocation between background and the character of the license plate. Firstly, we would perform edge detection on gray-scale images of vehicles, and then, give the Canny operator edge...
Scanning Electron Microscope (SEM) is widely used in many fields to look into the nanometer world. However, there is non-linear distortion near the left boundary of high resolution images captured by SEM, which has bad effect on image processing such as image mosaic. In this paper, we propose a method to correct such distortion based on non-equidistant GM(1,1) model. We first extract pair-wise points...
Distortion discriminated criteria play a very important role in rate-distortion optimization (RDO), which is an effective way of video encoding. In x264, the sum of the square differences (SSD) and the sum of the absolute differences (SAD) are used as quality metrics for RDO, while these two criteria are poorly correlated to human visual system. In this paper, the structural similarity index (SSIM)...
Making recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for face recognition. In this correspondence, multi-scale illumination invariant is derived from the image gradient domain (MGI) which can discover underlying inherent structure while keeping the details at most. The resulting method provides state-of-the-art performance on two data sets...
Reversible watermarking algorithms make it possible that the original image can be totally restored after the watermark was extracted, so it is widely used in the protection of medicalimages. A new reversible watermarking scheme based on Integer Discrete Cosine Transform (IntDCT) and Difference Expansion (DE) is proposed in this paper. The IntDCT transformation not only avoids the distortion of truncation...
Nanomaterial has demonstrated its advantages in a variety of application fields such as biosensors and next-generation computer chips. It is important yet challenging to precisely capture and recover the morphological characteristics of nanomaterial for nanomanufacturing quality control. We propose a computer vision-assisted approach in this paper to recover the structural details of nanowires and...
Edge detection is one of the most commonly used operations in image analysis. Most algorithms contain two basic steps: denoise and derivative computing. We apply kernel regression to remove noise and to get gray-level and derivative intensity surface of images. We explore the Nadaraya-Watson kernel regression which conquers the more negative impact caused by noises for derivative computing than general...
This paper applies empirical mode decomposition (EMD) combined with translation invariant (TI) scale-adaptive soft-hard compromise threshold method to achieve seismic random noise reduction. Commonly, the Gibbs phenomenon produced by wavelet transform is derived from the basis function which leads to artifacts in discontinuities. TI is a method which could suppress Gibbs artifacts efficiently and...
In this paper, we propose a new algorithm to preprocess an IR image sequence for the detection of a small target which is undistinguishable because it is dim and embedded in strong clutter. This algorithm integrates the background suppression based on wavelet transform and the improved frame difference to enhance the target intensity, suppress the cluster, and improve the SNR. Experimental results...
Existing work of 3D morphable models mainly focuses on 3D face recognition and reconstruction but ignores the ear regions which are usually captured together with the face images. However, ears are almost rigid structures, which are relatively stable to age growth and resist the facial expression variations, making themselves an effective supplement of faces for personal identification. Hence, we...
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