Jifeng Sun

A study of PCA image fusion techniques on remote sensing

We propose a PCA algorithm for image fusion between the infrared image and the visible image of the same night vision. The infrared image and the visible image are preprocessed with image Gaussian low-pass filter respectively, to smooth the images. The mathematical formulation of image fusion techniques is worked out in this paper. Included are block-based method, wavelet transform, wavelet packet and PCA. Experimental results show the effectiveness of the proposed method.

Plane detection in stereo images based on homography

This work presents an algorithm for detecting planar regions in uncalibrated stereo images. The algorithm can also apply to situation that feature point matching between images is unreliable. First, a set of feature points are detected and matched between image pairs. Then an initial homography is computed from match points. Last, Planar region augmentation is performed to enlarge the initial planar region.

Automatic video shot detection and characterization for content-based video retrieval

In this paper, firstly, several video shot detection technologies have been discussed. An edited video consists of two kinds of shot boundaries have been known as straight cuts and optical cuts. Experimental result using a variety of videos are presented to demonstrate that moving window detection algorithm and 10-step difference histogram comparison algorithm are effective for detection of both kinds of shot cuts. After shot isolation, methods for shot characterization were investigated. We present a detailed discussion of key-frame extraction and review the visual features, particularly the color feature based on HSV model, of key-frames. Video retrieval methods based on key-frames have been presented at the end of this section. This paper also present an integrated system solution for computer- assisted video parsing and content-based video retrieval. The application software package was programmed on Visual C++ development platform.

IPTV based on IP network and streaming media service station

IPTV can be a new service performed on the Internet in that network transmission and streaming media technologies are getting mature. In this paper, IPTV system infrastructure of UTStarcom, key technologies deployed, and applications will be discussed and evaluated. The key technologies to achieve IPTV services include 1) codec and compression; 2) streaming media; and 3) broadband networks and access to such networks. The implementation of Media Switch IPTV system in Harbin CNC city network is also discussed.

Multi-View Video Coding Using Color Correction

The color variations between multi-view video sequences may degrade the inter-view prediction and result in low coding efficiency. In this paper we propose an efficient multi-view video coding scheme using dominant basic color mapping based color correction. The experimental coding results show that color correction has the potential to make multi-view video coding more efficient.

A Clustering Routing Protocol Based on HCMC in WSNs

Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Most of the attention, however, has been given to the routing protocols. The paper presents a new clustering scheme named HCMC based on improved Monte-Carlo localization algorithm MCBR. We also exploit multi-hop scheme between clusters to increase the energy efficiency of the protocol. The results show that our approach distributes the energy dissipation more evenly than other clustering schemes, reduces overall energy consumption and improves network lifetime.

A new multi-focus image fusion algorithm based on Nonsubsampled Contourlet Transform

In this paper, a new multi-focus image fusion algorithm based on the Nonsubsampled Contourlet Transform (NSCT) is proposed. As a more effective multi-resolution analysis method, NSCT can give a better performance in image processing than the existing methods. Because Human Visual system(HVS) can only be sensitivity to regional characteristic rather than single pixel characteristic, region variance - maximum-based rule and region energy- maximum-based rule are employed to obtain high-frequency and low-frequency coefficients. In the experiments, we compared this strategy with wavelet-based algorithm and contourlet transform -based algorithm. Experimental results show that the fused result based on NSCT can achieve a better performance than the other algorithm.

A new approach for intermediate view synthesis based on NSCT and fusion

NSCT (Non-Subsampled Contourlet Transform) is widely used in image fusion according to its multiscale, multiorientation and translation invariance. In this paper, a new intermediate view synthesis approach for free viewpoint video based on NSCT and image fusion is proposed. SIFT descriptor is used to detect the distinctive features as matching points of the given images. Then homography matrix is calculated by the matching points, so that the given images can be wrapped to the middle position, and transformed into NSCT domain to fuse, then we fill the holes by blending neighboring colors, the image generated is the intermediate view. The experimental results show that the viability of the proposed method is good.

A new multi-view image coding scheme based on fusion and BEMD

In this paper, a novel coding scheme of multi-view image is proposed. It is based on fusion rather than redundancy removal since the former is more similar to visual characteristic of people. A multi-view image system using this scheme is designed. BEMD is applied during the fusion and compression process because of its excellent performance on image processing. Experimental results show, without reducing the image quality, the proposed scheme can provide better compression ratio than the previous ones, which open the doors for future applications.

An image compression scheme based fusion and disassemble

In this paper, a new image compression scheme is proposed. The self similarity of a static image is analyzed in order to implement image compression on basis of similarity and fusion rather than redundancy removal since the former is more similar to visual characteristic of people. Experimental result shows the scheme presented in the paper can has a potential performance on image and video coding.