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Structure preservation in content-aware image retargeting using multi-operator
IET Image Processing ( IF 2.0 ) Pub Date : 2020-11-30 , DOI: 10.1049/iet-ipr.2019.1032
Ankit Garg 1 , Ashish Negi 2
Affiliation  

The evolution of image retargeting technique demands the exploitation of multi-operators since they are capable of preserving the structure and salient objects of the image. However, these multi-operators are mostly based on seam carving with scaling or cropping operators which lead to significant distortions in the retargeted image. This study proposes a new multi-operator scheme which has improved seam carving, through the proposed seam diversion based image retargeting algorithm, integrated with the cropping and warping operator. A total of six different multi-operator schemes have been proposed out of which the MO6 technique gave remarkable results in terms of image quality, least distortion, and lowest run-time. To simplify image retargeting operations, an optimised image distance function was used. The optimised image distance function was formulated which combines bidirectional image Euclidean distance, dominant colour descriptor, and an energy-based coefficient to bypass seams from the point where seams start clashing and hence the defined threshold violates. By integrating cropping and warping into the proposed algorithm, it preserves the salient features of the retargeted images. Typical results have been presented which demonstrates the effectiveness of the proposed methods. User-based subjective analysis has also been carried out which shows that image retargeted using the MO6 technique has high user preference.

中文翻译:

使用多操作员在内容感知图像重定向中保留结构

图像重定目标技术的发展需要多操作员的利用,因为它们能够保留图像的结构和显着对象。但是,这些多操作符主要基于带有缩放或裁切操作符的接缝雕刻,这会导致重定目标图像中的明显失真。这项研究提出了一种新的多操作员方案,该方案通过提出的基于接缝转移的图像重新定向算法,并与裁剪和整形算子集成在一起,从而改进了接缝雕刻。总共提出了六种不同的多运算符方案,其中MO6技术在图像质量,最小失真和最低运行时间方面给出了显着的结果。为了简化图像重新定向操作,使用了优化的图像距离功能。制定了优化的图像距离功能,该功能结合了双向图像欧几里得距离,主要颜色描述符和基于能量的系数,以从接缝开始发生冲突并因此违反定义的阈值的点绕过接缝。通过将裁剪和变形整合到所提出的算法中,它保留了重新定位图像的显着特征。提出了典型结果,证明了所提出方法的有效性。还进行了基于用户的主观分析,这表明使用MO6技术重新定向的图像具有很高的用户偏好。通过将裁剪和变形整合到所提出的算法中,它保留了重新定位图像的显着特征。提出了典型结果,证明了所提出方法的有效性。还进行了基于用户的主观分析,这表明使用MO6技术重新定向的图像具有很高的用户偏好。通过将裁剪和变形整合到所提出的算法中,它保留了重新定位图像的显着特征。提出了典型结果,证明了所提出方法的有效性。还进行了基于用户的主观分析,该分析表明,使用MO6技术重新定向的图像具有较高的用户偏好。
更新日期:2020-12-01
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