Text detection and recognition in poor quality video is a challenging problem due to
unpredictable blur and distortion effects caused by camera and text movements. This affects …

In image processing, various motion deblurring methods have been proposed that are
based on camera shake and object motion. This paper proposes an effective method of …

High-quality medical ultrasound imaging is definitely concerning motion blur, while medical
image analysis requires motionless and accurate data acquired by sonographers. The main …

Methods: With the overarching goal of enhancing both image quality and disease
classification accuracy, the paper sets out to address crucial aspects of modern medical …

In image analysis, moments are usually connected with automatic object recognition.
Moment invariants, which serve as features for object description, have become an …

Different blur invariant descriptors have been proposed so far, which are either in the spatial
domain or based on the properties available in the moment domain. In this paper, a …

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In an effort to improve compressive sensing and spare signal reconstruction by way of the
backtracking-based adaptive orthogonal matching pursuit (BAOMP), a new sparse coding …

The quality of fetal ultrasound images is significantly affected by motion blur while the
imaging system requires low motion quality in order to capture accurate data. This can be …

Different blur invariant descriptors have been proposed so far, which are either in the spatial
domain or based on the properties available in the moment domain. In this paper, a …