一种基于DCT的图像自适应盲水印算法 - 中国图象图形学报.DOC

热扩散和整体变分模型自适应调整的图像放大模型( 王相海1,，1)（辽宁师范大学学院 大连 116029） )（辽宁师范大学院 大连 116029） )（）摘 要:关键词 中图法分类号TP391 文献标识码：A 文章编号： Image Magnification Model Based on Adaptive Adjustment of Thermal Diffusion and TV Model Wang Xiang-hai1,3), Ai Xin-nan2) 1) (College of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China) 2) (College of Mathematics, Liaoning Normal University, Dalian 116029, China) 3) (Key Laboratory of Intelligent Computing Information Processing of Ministry of Education, Xiangtan University，Xiangtan 411105,China) Abstract: In recent years, consider that image processing based on the partial differential equation has stronger local adaptive characteristics and high degree of flexibility，the method becomes a new research hotspot after image processing based on wavelet. Based on the different characteristic and superiority represented by the thermal diffusion model and the TV (Total Variation) model in the image smooth area and edge or texture area，this paper proposes the adaptive hybrid image magnification model based on image local characteristics. Initialized by the amplification image after the double linear interpolation, this model adaptively adjusts the diffusion model according to the pixel gradient characteristic in the smooth area and edge or texture area. The proposed model makes the isotropic diffusion in the smooth area, and the direction diffusion along the vertical gradient direction in the edge or texture region. This model inhibits the massive effect and the false edge phenomenon brought by the image interpolation amplification. The proposed model is proved theoretically, and at the same time, a lot of simulation results verify the effectiveness of the proposed model. Keywords image magnification, bilinear interpolation, thermal diffusion model, TV model, adaptive hybrid model 0 引 言 图像放大作为图像处理的重要组成部分，其目标是在增加图像分辨率的同时，尽可能的保持高质量的图像视觉效果。传统的图像放大是通过对图像进行插值获得[1,2]，常用的插值方法包括最近邻插值、双线性插值、