图像显示适配技术用于改编图像,以适应在不同尺寸和长宽比的目标屏幕上展示.其中,面向移动设备的图像显示适配面临展示面积受限、长宽比不固定等问题,已经成为多媒体领域的研究热点之一.针对现有方法的缺陷,提出了一种基于区域关系图的图像显示适配方法.首先,根据视觉关注程度和加权梯度分别计算出图像的重要度能量模板和敏感度能量模板.然后,将原始图像分解为曲边梯形网格,并进一步表示为区域关系图.在区域关系图基础上,图像显示适配被规约为用能量模板约束的二次规划问题,通过优化关键网格顶点重定位来生成重要物体突出且视觉扭曲不明

Image retargeting techniques aim to adapt images to the target screens with different sizes and aspect ratios. Unfortunately, image retargeting for mobile device screens suffers from the problems of limited display area and various aspect ratios. This has been one of the hot topics in multimedia research. This paper proposes a novel image retargeting approach based on region relation graph. First, energy map and sensitivity energy maps are calculated by visual attention and weighted gradient, respectively. Then, the original image is decomposed into curve-edge trapezoid meshes, further represented by region relation graph. Based on the region relation graph, image retargeting is formulated as a quadratic programming problem constrained by energy maps, which emphasizes the important image parts and reduces the visual distortion by optimally relocating the key mesh vertexes. Finally, the target image is generated based on the optimal solution. Experimental results show the effective and efficiency of the proposed approach.

Supported by the National Natural Science Foundation of China under Grant Nos.60533080, 60721002, 60975043 (国家自然科学基金); the Hong Kong General Research Fund of China under Grant No.PolyU 5204/09E (香港研资局优配研究金)