This paper presents a novel feature point descriptor for the multispectral image case: Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge ...

image restoration has been an active research area. dierent formulations are eective in high qualityrecovery. partial dierential equations (pdes) have become an important tool in image processingand analysis. one of the earliest models based on pdes is perona-malik model that is a kindof anisotropic diusion (andi) lter. anisotropic diusion lter has become a valuable tool indierent elds...

The task of image-to-image translation is to generate images closer the target domain style while preserving significant features original image. This paper contends an adaptive feature fusion method for unsupervised image translation. proposed architecture, termed as AFF-UNIT, based on a compact network structure further improve quality generated images. First all, extraction module proposed, ...

The paper proposes a method for fusion of registered multi focus images using various characteristic properties of the images as attributes for fusion. Experiment is conducted on a large set of images and the results of image fusion using different image attributes are analyzed using quality assessment algorithms to estimate how well information contained in the source images are represented in...

Calculating a reliable similarity measure between pixel features is essential for many computer vision and image processing applications. We propose a similarity measure (affinity) between pixel features, which depends on the feature space histogram of the image. We use the observation that clusters in the feature space histogram are typically smooth and roughly convex. Given two feature points...