Natural image quality assessment (NIQA) wins increasing attention, while NIQA models are
rarely used in the medical community. A couple of studies employ the NIQA methodologies …

Blurriness is annoying yet common in digital images. Many sharpness assessment
indicators using handcrafted features achieve impressive results on synthesized blurring …

Magnetic resonance imaging (MRI) is an important, non invasive body imaging tool in
medical domain. For proper diagnosis, a good quality image plays a vital role. One major …

Orthogonal moments (OM) are extensively used for image enhancement, representation and
comparison. They are basically derived through mutually perpendicular polynomials which …

Accurate realistic blurred image quality assessment (RB-IQA) is challenging due to potential
occurrence of blurring in image acquistion, compression and transmission. Derived from the …

Medical image quality assessment (MIQA) is highly related to content interpretation and
disease diagnosis in medical community. However, a few metrics have been developed. On …

For evaluating the sharpness of crystal images in-situ detected from a crystallization
process, a no-reference sharpness assessment approach is proposed in this paper, by …

Salient regions provide important cues for scene understanding to the human vision system.
However, whether the detected salient regions are helpful in image blur estimation is …