发布时间：2025-04-30

论文名称：Context-constrained hallucination for image super-resolution (PDF)

发表刊物：IEEE Conf. Computer Vision and Pattern Recognition

摘要：PDF version is included.

Abstract: This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs, the high-resolution pixel is hallucinated from its texturally similar segments which are retrieved from the training set by texture similarity. Given the discrete hallucinated examples, a continuous energy function is designed to enforce the fidelity of high-resolution image to low-resolution input and the constraints imposed by the hallucinated examples and the edge smoothness prior. The reconstructed high-resolution image is sharp with minimal artifacts both along the edges and in the textural regions.

合写作者：Jian Sun, Jiejie Zhu, Marshall Tappen

是否译文：否

发表时间：2010-02-24