Blurred Image Matching (BIM) is based on image pre-processing and Blob detection. BIM
has been designed to function with images presenting a strong level of noise of different …

This paper presents a new local feature scheme for image matching between a strongly
blurred image and a non-blurred image. In recent years, a lot of local feature schemes have …

The article proposes a modification of the Blurred Image Matching (BIM) method, a key point
selection method in images, thus solving a problem of their accurate comparison. A new …

Image matching between a blurred (caused by camera motion, out of focus, etc.) image and
a non-blurred image is a critical task for many image/video applications. However, most of …

This paper addresses the functioning of a new key point detection method for images. Such
methods are useful in applications as image reconstructions, object signature recognition or …

In the field of computer vision, image matching is a core issue. In order to improve the
accuracy of image feature matching and enhance its anti-interference ability, in view of the …

Image matching aims to find a similar area of the small image in the large image, which is
one of the key steps in image fusion and vision-based navigation; however, most matching …

The type and extent of blur affect image quality and therefore its evaluation. This paper
presents an accurate method for blur identification and parameter estimation from one …

In this paper, a novel image matching method is proposed in order to improve the
performance of image registration, especially for blur images. Firstly, A set of Scale Invariant …

Blur detection of the partially blurred image is challenging because in this case blur varies
spatially. In this paper, we propose a blurred-image detection framework for automaticallQy …