This paper presents a novel unified image fusion framework based on an application-
adaptive importance measure. In the proposed framework, an important area is selected …

Aiming at the problem that the results of optical remote sensing imaging are degraded by
noise and haze, a fast noise reduction and haze reduction algorithm combining multi-frame …

When a fire happens in a building, internal closed-circuit television system becomes less
effective under the influences of hot smoke. The fire scenario is very similar to the …

Multi-exposure image fusion (MEF) involves combining images captured at different
exposure levels to create a single, well-exposed fused image. MEF has a wide range of …

Image dehazing is a severe and challenging problem due to its ill-posed behavior and is
highly desired in various vision based applications such as computer vision, image …

We present an image fusion algorithm for a visible image and a near-infrared image. The
proposed algorithm synthesizes a fused image that includes high-visibility information of …

This work presents and analyses a revolutionary quality upgrade of an underwater image by
haze removal and colour contrast enhancement utilizing a multi-image fusion based on …

Due to the absorption and scattering effect on light when traveling in water, underwater
images exhibit serious weakening such as color deviation, low contrast, and blurry details …

Outdoor photography is often affected by a common problem termed haze which causes
poor visibility of distant objects. This occurs mainly due to the absorption and scattering of …

In minimally invasive surgery, the use of tissue dissection tools causes smoke, which
inevitably degrades the image quality. This could reduce the visibility of the operation field …