In subjective full-reference image quality assessment, a reference is distorted at increasing distortion levels. The differences between perceptual qualities of the and its versions are evaluated, often using degradation category ratings (DCR). However, DCR has been criticized since rating categories on this ordinal scale might not be perceptually equidistant, observers may have different under...

Image aesthetic quality assessment (IAQA) has aroused considerable interest in recent years and is widely used various applications, such as image retrieval, album management, chat robot social media. However, existing methods need an excessive amount of labeled data to train the model. Collecting enormous quantity human scored training not always feasible due a number factors, expensiveness la...

Objective image quality assessment (IQA) measures are playing an increasingly important role in the evaluation of digital quality. New IQA indices expected to be strongly correlated with subjective observer evaluations expressed by Mean Opinion Score (MOS) or Difference (DMOS). One such recently proposed index is SuperPixel-based SIMilarity (SPSIM) index, which uses superpixel patches instead a...

Omnidirectional images (ODIs), also known as 360-degree images, enable viewers to explore all directions of a given scene from fixed point. Designing an immersive imaging system with ODI is challenging such systems require very large resolution coverage the entire 360 viewing space provide enhanced quality experience (QoE). Despite remarkable progress on single image super-resolution (SISR) met...

Abstract—This paper presents the comparative analysis of various quality metrics for medical image processing. Measurement of image quality is important for many image processing applications. Image quality assessment is closely related to image similarity assessment in which quality is based on the differences (or similarity) between a degraded image and the original, unmodified image. Objecti...

This study presents a new model of the human image quality assessment process: the aim is to highlight the foundations of the image quality metrics proposed in literature, by identifying the cognitive/physiological or mathematical principles of their development and the relation with the actual human quality assessment process. The model allows to create a novel categorization of objective and ...

With an increased interest in applications that require a clean background image, such as video surveillance, object tracking, street view imaging and location-based services on web-based maps, multiple algorithms have been developed to reconstruct a background image from cluttered scenes. Traditionally, statistical measures and existing image quality techniques have been applied for evaluating...