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diff --git a/125/CH6/EX6.7/Fig6_5_DegradedImage_Restoration.JPG b/125/CH6/EX6.7/Fig6_5_DegradedImage_Restoration.JPG
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diff --git a/125/CH6/EX6.7/Fig6_7.sce b/125/CH6/EX6.7/Fig6_7.sce
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+//Caption:Scilab code performs inverse filtering 

+//Degrade the image by means of a known blur and white noise

+//The image is degraded as well as corrupted by noise

+//Apply inverse filter to restore the  image

+//Fig6.7

+//page 332

+clc;

+close;

+x =imread('E:\DIP_JAYARAMAN\Chapter6\flower2.jpg');

+x=double(rgb2gray(x));

+[M N]=size(x);

+h = zeros(M,N);

+for i = 1:11

+    for j = 1:11

+        h(i,j) = 1/121;

+    end

+end

+sigma = sqrt(4*10^(-7));

+freqx = fft2d(x); //Fourier transform of input image

+freqh = fft2d(h);//Fourier transform of degradation

+y = real(ifft2d(freqh.*freqx))+10*rand(M,N,'normal');

+freqy = fft2d(y);

+powfreqx = freqx.^2/(M*N);

+alpha = 0.5; //Indicates inverse filter 

+freqg = ((freqh.')').*abs(powfreqx)./(abs(freqh.^2).*abs(powfreqx)+alpha*sigma^2);

+Resfreqx = freqg.*freqy;

+Resa = real(ifft2d(Resfreqx));

+x = uint8(x);

+y = uint8(y);

+Resa = uint8(Resa)

+ShowImage(x,'Original Image')

+title('Original Image')

+figure

+ShowImage(y,'Degraded+noise Image')

+title('Degraded+noise Image')

+figure

+ShowImage(Resa,'Restored Image')

+title('Restored Image')
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diff --git a/125/CH6/EX6.7/Fig6_7_Degraded_NoiseImage_Restoration.JPG b/125/CH6/EX6.7/Fig6_7_Degraded_NoiseImage_Restoration.JPG
new file mode 100755
index 000000000..8b8ff8a19
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+++ b/125/CH6/EX6.7/Fig6_7_Degraded_NoiseImage_Restoration.JPG