Perceptual Quality Assessment of Compressed Vibrotactile Signals Through Comparative Judgment.

In this article, we present a comprehensive scheme for the quality assessment of compressed vibrotactile signals with human assessors. Inspired by the multiple stimulus test with hidden reference and anchors (MUSHRA) from the audio domain, we designed a method in which each compressed signal is compared to its original signal and rated on a numerical scale. For each signal tested, the hidden reference and two anchor signals are used to validate the results and provide assessor screening criteria.

Subjective Evaluation of the Spectral Temporal SIMilarity (ST-SIM) Measure for Vibrotactile Quality Assessment.

Recent standardization efforts for Tactile Internet (TI) and haptic codecs have paved the route for delivering tactile experiences in synchrony with audio and visual interaction components. Since humans are the ultimate consumers of tactile interactions, it is utmost important to develop objective quality assessment measures that are in close agreements with human perception. In this article, we present the results of a large-scale subjective study of a recently proposed objective quality assessment approach for vibrotactile signals called ST-SIM (Spectral Temporal SIMilarity).

A Tactile Computer Mouse for the Display of Surface Material Properties.

We present a novel input/output device to display the tactile properties of surface materials. The proposed Tactile Computer Mouse (TCM) is equipped with a series of actuators that can create perceptually relevant tactile cues to a user. The display capabilities of our TCM match the major tactile dimensions in human surface material perception, namely, hardness, friction, warmth, microscopic roughness, and macroscopic roughness.

Objective quality assessment for multiexposure multifocus image fusion.

There has been a growing interest in image fusion technologies, but how to objectively evaluate the quality of fused images has not been fully understood. Here, we propose a method for objective quality assessment of multiexposure multifocus image fusion based on the evaluation of three key factors of fused image quality: 1) contrast preservation; 2) sharpness; and 3) structure preservation. Subjective experiments are conducted to create an image fusion database, based on which, performance evaluation shows that the proposed fusion quality index correlates well with subjective scores, and gives a significant improvement over the existing fusion quality measures.

Image sharpness assessment based on local phase coherence.

Sharpness is an important determinant in visual assessment of image quality. The human visual system is able to effortlessly detect blur and evaluate sharpness of visual images, but the underlying mechanism is not fully understood. Existing blur/sharpness evaluation algorithms are mostly based on edge width, local gradient, or energy reduction of global/local high frequency content.