Image Compression Method for Singular Value Decomposition Based on Y-H Model

It is required to preserve the relativity information of each channel for color image when it is compressed.This paper proposes a compression method based on a new style of Singular Value Decomposition(SVD) founded on Young-Helmholtz model——YH-SVD.It proofs the existence and gives out the structural style of YH-SVD,and applies this method to compress color image after it is transformed into Greaves space.Experimental results show that this method can keep the clearness of reconstructed image,and can achieve high Peak Signal to Noise Ratio(PSNR).