A new approach for image compression using normal matrices

TL;DR

This paper introduces a novel image compression technique leveraging eigenvalue decomposition of normal matrices, offering a simpler and computationally efficient alternative to existing methods, validated through experimental results.

Contribution

It presents a new eigenvalue-based image compression method using normal matrices that simplifies computations compared to prior approaches.

Findings

Effective compression demonstrated through experiments

Reduced computational complexity compared to existing methods

Preservation of image quality in compressed images

Abstract

In this paper, we present methods for image compression on the basis of eigenvalue decomposition of normal matrices. The proposed methods are convenient and self-explanatory, requiring fewer and easier computations as compared to some existing methods. Through the proposed techniques, the image is transformed to the space of normal matrices. Then, the properties of spectral decomposition are dealt with to obtain compressed images. Experimental results are provided to illustrate the validity of the methods.