UOMOP

import matplotlib.pyplot as pltfrom sklearn.preprocessing import MinMaxScalerimport pandas as pd# 엑셀 파일 경로 (실제 경로로 수정)file_path = 'C:/Users/dowon/Desktop/CISL/DE/CBS(Lv4)/Table_DIM_1024_SNR_40.xlsx'# 엑셀 파일 불러오기df = pd.read_excel(file_path)# 그래프를 그리기 위한 필요한 코드들columns_to_plot = ['Avg PSNR', 'Canny Edge', 'Sobel Edge', 'Fourier Transform']data_to_plot = df[columns_to_plot]# 데이터 0~1로 스케일링scaler = M..

% 데이터 입력 (DIM 512)SNR = [40, 30, 20, 10, 0];deep = [30.021, 29.227, 26.817, 22.801, 18.781];proposed_Lv1 = [28.866, 28.233, 25.812, 23.188, 18.894];proposed_Lv2 = [27.473, 27.007, 25.179, 22.885, 19.197];proposed_Lv3 = [26.519, 25.207, 24.152, 21.745, 19.025];proposed_Lv4 = [25.059, 25.141, 23.567, 21.731, 17.874];random_Lv1 = [28.199, 27.794, 25.53, 22.885, 18.807];random_Lv2 = [25.077,..

ProposedDIM:256 SNR(40dB) : (Avg):25.442 (Ori.):25.945 (MR=33%):25.107 (MR=65%):24.548 (MR=75%):23.362 DIM:256 SNR(30dB) : (Avg):24.807 (Ori.):25.630 (MR=33%):24.855 (MR=65%):24.330 (MR=75%):23.221 DIM:256 SNR(20dB) : (Avg):23.393 (Ori.):24.138 (MR=33%):23.646 (MR=65%):23.257 (MR=75%):22.419 DIM:256 SNR(10dB) : (Avg):21.857 (Ori.):21.506 (MR=33%):21.461 (MR=65%):21.058 (MR=75%):20.533 DIM:256 SN..