Company Filing History:
Years Active: 2017-2018
Title: Innovations of Meiling He in Image Quality Assessment
Introduction
Meiling He is a prominent inventor based in Zhejiang, China. She has made significant contributions to the field of image quality assessment, holding two patents that showcase her innovative approaches. Her work focuses on developing objective assessment methods that enhance the quality of stereoscopic and color images.
Latest Patents
Meiling He’s latest patents include an "Objective assessment method for stereoscopic image quality combined with manifold characteristics and binocular characteristics." This method trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm. It aims to obtain the best mapping matrix by removing image blocks that are not important for visual perception. The method measures structural distortion in distorted images based on manifold characteristic similarity and luminance distortion, ultimately processing quality values of the left and right viewpoint images to derive a quality value for the distorted stereoscopic image.
Another notable patent is the "Objective assessment method for color image quality based on online manifold learning." This method considers the relationship between saliency and image quality assessment. It utilizes a visual saliency detection algorithm to obtain saliency maps for reference and distorted images, leading to the calculation of an objective quality assessment value for the distorted image. This method enhances assessment effectiveness and improves correlation between objective results and subjective perception.
Career Highlights
Meiling He is affiliated with Ningbo University, where she continues to advance her research in image quality assessment. Her innovative methods have garnered attention in academic and professional circles, contributing to the ongoing development of image processing technologies.
Collaborations
Meiling collaborates with notable colleagues, including Fen Chen and Gangyi Jiang, who contribute to her research endeavors and help further the impact of her work in the field.
Conclusion
Meiling He’s contributions to image quality assessment through her innovative patents reflect her expertise and dedication to advancing technology in this area. Her work not only enhances the understanding of image quality but also paves the way for future innovations in visual perception.