how to do histogram for dct coeffcient to show Double Quantiztion effect?

what i want to do is a histogram for quantized DCT coefficient for an image, to detect Double Quantization effect. when i use hist(x) it will categorize it in to 10s and if i changed it to hist(x,20) or 30 it does not really show the DQ effect. so is there any better way for this?? here is the code: on matlab

im = jpeg_read('image');
% Pull image information - Lum, Cb, Cr
lum = im.coef_arrays{im.comp_info(1).component_id};
cb = im.coef_arrays{im.comp_info(2).component_id};
cr = im.coef_arrays{im.comp_info(3).component_id};
% Pull quantization arrays
lqtable = im.quant_tables{im.comp_info(1).quant_tbl_no};
cqtable = im.quant_tables{im.comp_info(2).quant_tbl_no};
% Quantize above two sets of information
qcof = quantize(lum,lqtable);
bqcof = quantize(cb,cqtable);
rqcof = quantize(cr,cqtable);
hist(qcof,30); %lum quantized dct coefficient histogram

Solution

First, no need to quantize the coefficients. Secondly, the effect can be observed by plotting histograms of certain frequencies. You need to go through various positions in the blocks and look for the pattern. Plotting FFT of the histogram helps.

Here is the matlab code:

imJPG2 = jpeg_read('foto2.jpg');
lum = imJPG2.coef_arrays{imJPG2.comp_info(1).component_id};
for i = 1:8
     for j = 1:8
        r = lum( i:8:end, j:8:end );
        histogram(r(:), 'binmethod','integers');
        pause();
    end
end

More details and background can be found in this paper: http://www.sciencedirect.com/science/article/pii/S0031320309001198