Salient object detection (SOD) has been widely used in practical applications, such as
multisensor image fusion, remote sensing, and defect detection. Recently, SOD from RGB …

Multiscale transform (MST) and sparse representation (SR)-based image fusion techniques
are widely used in many applications. However, the existing fusion methods are inefficient to …

Nuclei segmentation is an essential step in the automatic analysis of histopathology images.
This segmentation task requires much work to manually generate accurate pixel-level …

Anomaly target detection methods for hyperspectral images (HSI) often have the problems of
potential anomalies and noise contamination when representing background. Therefore, a …

The fusion of multispectral (MS) and panchromatic (PAN) images is of great significance for
the construction of high-resolution remote sensing images. Because of differences in …

This paper presents a fast discrete Curvelet transform (FDCT)-based technique for multi-
focus image fusion to address two problems: texture selection in FDCT domain and block …

For a natural scene with nonuniform environment light, the captured visible images are
always under-or over-exposed because of the limited dynamic range of digital imaging …

摘要图像融合质量评价指标研究旨在提供一种高效, 准确的方法, 为融合模型选择,
参数优化等问题提供支持. 本文通过对现有指标的机理分析, 指标性能检验与指标间相关性分析 …

One challenge facing image quality assessment (IQA) is that current models designed or
trained on the basis of exiting databases are intrinsically suboptimal and cannot deal with …

Image fusion aims to merge two or more images captured via various sensors of the same
scene to construct a more informative image by integrating their details. Generally, such …