The high-quality pathological microscopic images are essential for physicians or
pathologists to make a correct diagnosis. Image quality assessment (IQA) can quantify the …

One of the challenges facing the adoption of digital pathology workflows for clinical use is
the need for automated quality control. As the scanners sometimes determine focus …

In this paper, we propose a novel design of human visual system (HVS) response in a
convolutional filter form to decompose meaningful features that are closely tied with image …

Image Super-Resolution (SR) techniques improve visual quality by enhancing the spatial
resolution of images. Quality evaluation metrics play a critical role in comparing and …

Haze usually degrades the visibility of outdoor images and decreases their visual quality.
Previous techniques are not sufficient enough to deal with dehazing problem by using …

This article provides a comprehensive overview of no reference (NR) metrics for image
quality analysis (IQA) and video quality analysis (VQA). We examine 26 independent …

Medical image quality assessment plays an important role not only in the design and
manufacturing processes of image acquisition but also in the optimization of decision …

Out-of-focus microscopy lens in digital pathology is a critical bottleneck in high-throughput
Whole Slide Image (WSI) scanning platforms, for which pixel-level automated Focus Quality …

Compressive Sensing (CS) technology has been widely applied in synthetic aperture radar
(SAR) imaging. However, the typical sparse reconstruction model, L 0 regularization, can …

This paper proposed a new methodology which converts a full-reference focus quality
assessment metric into a no-reference one. The methodology consists of three hypotheses …