【作者】 王曾敏； 杨兆选； 丁学文； 何英华； 陈杨； 于渊；

【Author】 WANG Zeng-min+, YANG Zhao-xuan, DING Xue-wen, HE Ying-hua, CHEN Yang, YU Yuan (School of Electronic Engineering, Tianjin University, Tianjin 300072, China)

【机构】 天津大学电子信息工程学院；

【摘要】 研究了一种动态交通信息服务系统,提出了用于该系统的基于小波分析的图像融合算法和零树编码的小波图像压缩算法。该法利用小波变换对红外和可见光图像进行融合,并充分利用各子带小波系数对图像恢复的重要程度和人眼的视觉特性对融合图像进行压缩,具有较高的应用价值。实验结果表明了其有效性和实用性。更多还原

【Abstract】 Vehicle Information and Communication System (VICS) plays a major role in resolving the traffic congestion problem. Successful implementation of the VICS depends upon the accuracy of current information. A single imaging sensor, depending on its features, may not provide all the information necessary for VICS. Image fusion techniques are applied in the study for combining multisensor images to form a single composite image that has more complete information content than the individual source images. On the other hand, a major problem in VICS is the amount of digital image data that is generated. Image compression method is used to reduce the storage size and transmission bandwidth. The thesis presents an image fusion algorithm based on wavelet transform and an image compression algorithm based on Embedded Zerotree Wavelet (EZW) coding approach. The image fusion algorithm is used to fuse the visible and infrared (IR) image obtained in VICS. It utilizes multiresolution image decomposition and reconstruction to isolate the image details at different scales. Wavelet decomposition and wavelet domain fusion rules are applied to the source transforms to calculate the coefficients of the fused transform. The composite fused image is then reconstructed by performing the inverse transform on the composite transform. Fusion rules and operators are discussed in detail in the thesis. The fused image is afterwards compressed by the improved EZW coding algorithm. Because energy in the subbands of the fused image decreases as the scale decreases, the wavelet coefficients in the lower subbands are coded by Differential Pulse Code Modulation (DPCM) and the coefficients in the higher subbands are compressed by EZW coding algorithm. The research has developed a platform for VICS. The proposed vehicle image fusing and compressing simulation framework was investigated in it. We analyzed experimental results, including the subjective and objective qualities of reconstructed fused images and timing of the improved EZW coding algorithm for different compression ratios. It is proved that the algorithm produced a significant improvement to the performance of VICS.更多还原