Discrete Fractional COSHAD Transform and Its Application

Table 4

Performance comparison between the proposed transforms and the known algorithms for image “Peppers” with different noise (PSNR in dB).

Methods	Salt & Pepper; noise (5%)		Gaussian white noise; (mean: 0, variance: 0.01)
	Cr = 1 : 2	Cr = 1 : 4	Cr = 1 : 2	Cr = 1 : 4
Q-COSHAD	28.8986	22.9961	30.9782	25.0543
Q-FrCOSHAD	28.8880	22.9271	30.8836	24.9212
Q-DCT	28.9382	23.0320	31.0688	25.1468
Q-DHT	28.6947	22.5261	30.6381	24.7017
Q-Hadamard	28.3943	22.2529	30.3260	24.2723