This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Ningbo University. Active years: 2018.
Company Filing History:
Years Active: 2018
Title: Innovations of Zhaoyun Wang in Stereoscopic Image Quality Assessment
Introduction
Zhaoyun Wang is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of image processing, particularly in the assessment of stereoscopic image quality. His innovative approach combines manifold characteristics and binocular characteristics to enhance the evaluation of visual perception.
Latest Patents
Zhaoyun Wang holds a patent for an "Objective assessment method for stereoscopic image quality combined with manifold characteristics and binocular characteristics." This method involves training a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm. The process aims to obtain the best mapping matrix by removing image blocks that are not important for visual perception. After selecting the relevant image blocks, manifold characteristic vectors are extracted, and structural distortion of a distorted image is measured based on manifold characteristic similarity. Additionally, the method calculates luminance distortion considering the variation in image luminance that affects human eyes. Ultimately, quality values of the left and right viewpoint images are processed with linear weighting to derive a quality value for the distorted stereoscopic image.
Career Highlights
Zhaoyun Wang is affiliated with Ningbo University, where he continues to engage in research and development in the field of image quality assessment. His work has garnered attention for its innovative methodologies and practical applications in enhancing visual experiences.
Collaborations
Zhaoyun Wang collaborates with colleagues such as Mei Yu and Fen Chen, contributing to advancements in their shared field of expertise.
Conclusion
Zhaoyun Wang's contributions to the assessment of stereoscopic image quality reflect his dedication to innovation in image processing. His patented methods provide valuable insights into improving visual perception and quality evaluation.