Datta Ramanath, Mandal Sekhar, Umer Saiyed, AlZubi Ahmad Ali, Alharbi Abdullah, Alanazi Jazem Mutared
Department of Electronics and Communication Engineering, St.Thomas' College of Engineering and Technology, Kolkata, India.
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Kolkata, India.
Soft comput. 2022;26(16):8089-8103. doi: 10.1007/s00500-022-07142-4. Epub 2022 May 13.
A fast and novel method for single-image reconstruction using the super-resolution (SR) technique has been proposed in this paper. The working principle of the proposed scheme has been divided into three components. A low-resolution image is divided into several homogeneous or non-homogeneous regions in the first component. This partition is based on the analysis of texture patterns within that region. Only the non-homogeneous regions undergo the sparse representation for SR image reconstruction in the second component. The obtained reconstructed region from the second component undergoes a statistical-based prediction model to generate its more enhanced version in the third component. The remaining homogeneous regions are bicubic interpolated and reflect the required high-resolution image. The proposed technique is applied to some Large-scale electrical, machine and civil architectural design images. The purpose of using these images is that these images are huge in size, and processing such large images for any application is time-consuming. The proposed SR technique results in a better reconstructed SR image from its lower version with low time complexity. The performance of the proposed system on the electrical, machine and civil architectural design images is compared with the state-of-the-art methods, and it is shown that the proposed scheme outperforms the other competing methods.
本文提出了一种使用超分辨率（SR）技术进行单图像重建的快速且新颖的方法。所提方案的工作原理分为三个部分。在第一部分中，将低分辨率图像划分为若干个均匀或非均匀区域。这种划分基于对该区域内纹理模式的分析。在第二部分中，只有非均匀区域进行用于SR图像重建的稀疏表示。从第二部分获得的重建区域在第三部分中经过基于统计的预测模型，以生成其增强效果更好的版本。其余的均匀区域通过双三次插值得到，并构成所需的高分辨率图像。所提技术应用于一些大型电气、机械和民用建筑设计图像。使用这些图像的原因是这些图像尺寸巨大，对如此大的图像进行任何应用处理都很耗时。所提的SR技术能够以较低的时间复杂度从低分辨率版本得到更好的重建SR图像。将所提系统在电气、机械和民用建筑设计图像上的性能与当前最先进的方法进行了比较，结果表明所提方案优于其他竞争方法。
