Adaptive regularized image interpolation using a probabilistic gradient measure

作者：Liu Zhenyu^*

来源：Optics Communications, 2012, 285(3): 245-248.

DOI：10.1016/j.optcom.2011.09.065

• Image interpolation
• Gradient
• Regularization

An adaptive image interpolation approach is proposed in this paper. The proposed approach imposes a regularization on the reconstructed high-resolution image to suppress the noise and blurring incurred in the observed low-resolution image. Furthermore, the proposed regularization scheme is steered by the local gradient information of the image, which is evaluated using a probabilistic measure. Experiments are conducted to demonstrate the superior performance of the proposed approach.

• 出版日期2012-2-1
• 单位枣庄学院