LenaColor + SSM + Python2 + Ubuntu + OCV2


import numpy as np
import cv2

WIDTH = 128   # has a great influence on the result

if __name__ == '__main__':
    img = cv2.imread('/home/jonathan/Pictures/lena.bmp', 0)
    img = cv2.resize(img, (WIDTH, WIDTH*img.shape[0]/img.shape[1]))

    c = cv2.dft(np.float32(img), flags = cv2.DFT_COMPLEX_OUTPUT)
    mag = np.sqrt(c[:,:,0]**2 + c[:,:,1]**2)
    spectralResidual = np.exp(np.log(mag) - cv2.boxFilter(np.log(mag), -1, (3,3)))

    c[:,:,0] = c[:,:,0] * spectralResidual / mag
    c[:,:,1] = c[:,:,1] * spectralResidual / mag
    c = cv2.dft(c, flags = (cv2.DFT_INVERSE | cv2.DFT_SCALE))
    mag = c[:,:,0]**2 + c[:,:,1]**2
    cv2.normalize(cv2.GaussianBlur(mag,(9,9),3,3), mag, 0., 1., cv2.NORM_MINMAX)

    cv2.imshow('Saliency Map', mag)
    c = cv2.waitKey(0) & 0xFF
   
    if(c==27 or c==ord('q')):
        cv2.destroyAllWindows()

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