边界和曲率驱动修复的图像编码算法  

Image Encoding Algorithm Based on Contour and Curvature-Driven Inpainting

作　　者：王相海[1,2] 汲海巍 宋传鸣[1,2] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,大连116029 [2]南京大学计算机软件新技术国家重点实验室,南京210023

出　　处：《模式识别与人工智能》2015年第11期1023-1032,共10页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.61402214;41271422);高等学校博士学科点专项科研基金项目(No.20132136110002);辽宁省博士科研启动基金项目(No.20121076);辽宁省高等学校科学技术计划项目(No.L2013405;L2013406;L2011192);大连市科学技术基金计划项目(No.2012J21DW008);计算机软件新技术国家重点实验室(南京大学)开放基金项目(No.KFKT2011B09);智能计算与信息处理教育部重点实验室(湘潭大学)开放课题项目(No.2011ICIP06)资助

摘　　要：提出面向人眼视觉的基于边界和曲率驱动修复的图像编码算法.首先利用梯度方差和二值边缘将图像分成结构块、梯度块和平凡块.然后采用JPEG和算术编码压缩平凡块、必要的结构块和梯度块及其辅助信息.最后在解码端利用JPEG解码平凡块,利用梯度加权的线性插值重构梯度块,采用边界指导的像素扩散方法和曲率驱动扩散模型解码结构块,较好保持解码图像边界的完整性和强度.实验表明,文中算法在压缩效率和解码图像的视觉效果上均有较大幅度的提高,且计算复杂度较低.A perception-oriented image coding algorithm based on contour and curvature-driven diffusion is presented. Firstly, the gradient variance and binary edge map are used to separate the image into non-overlapped structural blocks, gradient blocks and common blocks. Subsequently, all common blocks, necessary structural blocks and gradient blocks, and their assistant information are compressed by JPEG and arithmetic coding. Finally, common blocks are decoded by the decoder with JPEG. Moreover, the gradient weighted linear interpolation is employed to reconstruct the gradient blocks, and the structural blocks are decoded by combining contour and curvature-driven diffusion methods to obtain a better preservation of integrity and strength of principal edges. Experimental results show that the proposed algorithm achieves higher compression ratio, better visual quality and lower computational complexity than JPEG and parameter-assistant inpainting.

关 键 词：图像编码 图像修复 曲率驱动扩散 人眼视觉系统 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]