An adaptive image amplification method with integer multiples

作者：Zhong, Xue Xia; He, Ying; Wang, Jian^*; Mei, Lin

来源：4th International Conference on Audio, Language and Image Processing, ICALIP 2014, 2014-07-07 To 2014-07-09.

DOI：10.1109/ICALIP.2014.7009827

• Bicubic interpolation
• Image amplification
• Image processing technique
• Low resolution images
• Magnification factors
• Object identification
• Video communications
• Weighted least square estimation

As an important image processing technique, image interpolation has wide applications, such as digital photos, video communication, medical imaging, object identification. A new adaptive image amplification technique is presented in this paper. The proposed method is able to cope with arbitrary integer multiples image amplification. For a low-resolution (LR) image and a given integer magnification factor n, every LR pixel is corresponding to a n ×n block of unknown HR pixels. The LR image is firstly zoomed times by Bicubic interpolation. Then for every LR pixel belonging to edge area, weighted least-square estimation technique is adopted to compute its eight orientation model parameters for its associated n ×n block. Subsequently, each pixel in the associated n ×n block is substituted by a linear weighted summation using its eight surrounding HR pixels and the obtained model parameters. Finally, a correction strategy is implemented based on every n ×n block to refine each tentative HR pixel. Compared with other image zooming methods, experimental results demonstrate the superiority of the proposed image zooming algorithm.

• 出版日期2015
• 单位上海交通大学