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Gray image quantization

5 vues (au cours des 30 derniers jours)
Alan AF
Alan AF le 10 Fév 2012
Modifié(e) : Erik le 8 Oct 2013
I am trying to quantize an image into 12 bit intensity using the below code:
R2D = mat2gray(R2D); % intensity between [0,1] Double
R2D = double(uencode(R2D,12)); % intensity between [0,2^12] integer
PIC = mat2gray(R2D); % intensity between [0,1] Double
imshow(pic);
the problem is in 'uencode' function , the input must be in the range of [-1,1], is there a way to do that quantization for input values between [0,1]? may be some changes to the 'uencode' will do job :)
Many thanks

Réponse acceptée

Alan AF
Alan AF le 10 Fév 2012
Thank you, I found the Solution:
R2D = mat2gray(R2D);
[R2D8,map] = gray2ind(R2D,128);
pic = ind2gray(R2D8,map);
pic = mat2gray(pic);
imshow(pic);
  1 commentaire
Image Analyst
Image Analyst le 10 Fév 2012
This does 128 gray levels, not 4096.

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Plus de réponses (1)

Image Analyst
Image Analyst le 10 Fév 2012
How about using code like:
actualMin = double(min(min(imgOriginal)));
actualMax = double(max(max(imgOriginal)));
slope = (desiredMax - desiredMin) / (double(actualMax) - double(actualMin));
scaledImage = slope * (double(imgOriginal) - actualMin) + desiredMin;
  2 commentaires
Alan AF
Alan AF le 10 Fév 2012
Thanks for your reply
Actually my intention is to Quantize the Image (i.e store every pixel into an 12 bit integer), is there a way to do that?
many thanks :)
Image Analyst
Image Analyst le 10 Fév 2012
I didn't think that was your intention because at the end you called mat2gray() which forces it into a 0-1 range, which pretty much wipes out quantization - not quite but for most intents and purposes it does. And the quantized intermediate images, you didn't do anything with.

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