High-order balanced M-band multiwavelet packet transform-based remote sensing image denoising

EURASIP Journal on Advances in Signal Processing

Table 1 Denoising indicator results obtained by applying all the test methods to denoise the above used image corrupted by different noise patterns

Noise patterns	Indicators	Noisy image	Method of Liu et al.	Method of Ren et al.	Method of He et al.	Method of our proposed method
Pattern A	PSNR	22.877	23.086	23.512	23.872	24.489
Pattern A	SSIM	0.609	0.682	0.694	0.708	0.711
Pattern B	PSNR	15.651	18.466	19.043	19.630	21.632
Pattern B	SSIM	0.427	0.523	0.552	0.547	0.602
Pattern C	PSNR	34.203	35.094	35.581	35.922	36.580
Pattern C	SSIM	0.892	0.926	0.949	0.938	0.972
Pattern D	PSNR	28.476	29.754	30.741	30.293	31.602
Pattern D	SSIM	0.751	0.802	0.817	0.836	0.852