摘要压缩感知理论(Compressed sensing, CS) 通过少量的线性测量值感知信号的原始结构,
并通过求解最优化问题精确地重构原信号. 该理论减少了数字图像及视频获取时的存储及传输 …

Recently, the compressed sensing (CS) theory has become an interesting topic for pan-
sharpening of multispectral images. The CS theory ensures that, under the sparsity …

In this study, the potential application of compressive sensing (CS) principle in the image
fusion for infrared (IR) and visible images is studied. First, the theory of CS is introduced …

In the recent trends of image processing, simultaneous image compression and fusion has
become the major subject of interest. The advantage of image compression is that, it …

In this paper, we proposed an adaptive two-scale image fusion method using latent low-rank
representation (LatLRR). First, both IR and VI images are decomposed into a two-scale …

The image decomposition strategy that extracts salient features from the source image is
crucial for image fusion. To this end, we proposed a novel saliency-based decomposition …

Pan-sharpening is an image fusion process in which high resolution (HR) panchromatic
(Pan) imagery is used to sharpen the corresponding low resolution (LR) multi-spectral (MS) …

Most of available image fusion approaches cannot achieve higher spatial resolution than the
multisource images. In this paper we propose a novel simultaneous images super-resolution …

摘要针对传统稀疏表示同步超分图像融合模型中对于LL (Low-low frequency), LH (Low-high
frequency), H (High frequency) 三部分等比例加权, 不能突出重点信息之不足 …

The Compressive Sensing (CS) allows the acquisition of signals already compressed and
the posterior reconstruction with much less number of measures than the minimum required …