由福建医学院心血管病中心和福州大学生物医学工程研究室合作研制成功的"LM—2000医学图象处理系统"于1989年11月通过国家自然科学基金委员会信息部组织的技术成果鉴定。该系统是我国目前帧存储容量最大的医学图象处理和定量...由福建医学院心血管病中心和福州大学生物医学工程研究室合作研制成功的"LM—2000医学图象处理系统"于1989年11月通过国家自然科学基金委员会信息部组织的技术成果鉴定。该系统是我国目前帧存储容量最大的医学图象处理和定量分析系统,特别适合左心室 x 线造影,二维超声心动图等心脏动态多帧序列图象处理的需要。该系统除配备有距离、面积、体积的测量,射血分数、长径八分法、幅射五分法等左心室运动功能分析及冠脉狭窄率自动分析等软件外。展开更多
Image or video resources are often received in poor condition, mostly with noise or defects making the resources hard to read. We propose an effective algorithm based on digital image inpainting. The mechanism can be ...Image or video resources are often received in poor condition, mostly with noise or defects making the resources hard to read. We propose an effective algorithm based on digital image inpainting. The mechanism can be used in restoring images or video frames with very high noise or defect ratio (e.g., 90%). The algorithm is based on the concept of image subdivision and estimation of color variations. Noises inside blocks of different sizes are inpainted with different levels of surrounding information. The results showed that an almost unrecognizable image can be recovered with visually good result. The algorithm can be further extended for processing motion picture with high percentage of noise.展开更多
文摘由福建医学院心血管病中心和福州大学生物医学工程研究室合作研制成功的"LM—2000医学图象处理系统"于1989年11月通过国家自然科学基金委员会信息部组织的技术成果鉴定。该系统是我国目前帧存储容量最大的医学图象处理和定量分析系统,特别适合左心室 x 线造影,二维超声心动图等心脏动态多帧序列图象处理的需要。该系统除配备有距离、面积、体积的测量,射血分数、长径八分法、幅射五分法等左心室运动功能分析及冠脉狭窄率自动分析等软件外。
文摘Image or video resources are often received in poor condition, mostly with noise or defects making the resources hard to read. We propose an effective algorithm based on digital image inpainting. The mechanism can be used in restoring images or video frames with very high noise or defect ratio (e.g., 90%). The algorithm is based on the concept of image subdivision and estimation of color variations. Noises inside blocks of different sizes are inpainted with different levels of surrounding information. The results showed that an almost unrecognizable image can be recovered with visually good result. The algorithm can be further extended for processing motion picture with high percentage of noise.
