Areej F
Areej F

Reputation: 131

Image Interpolation in python

I am trying to use interpolation to remove chromatic aberration from an image. The code I have generates the following error: TypeError: unhashable type: 'numpy.ndarray'. Below is my code - any help would be greatly appreciated. Thank you- Areej This is an input explanation

#splitting an image into its separe bands
source = im.split()
Cfixed = source[2]
Cwarp  = source[1]
#take the image minus a ew-wide edge
roi = [ew+1, xdim-ew, ew+1, ydim-ew];
roi_pad = [roi[0]-ew, roi[1]+ew, roi[2]-ew, roi[3]+ew];
for k in range(0,centers_x.size):
        cx = centers_x[k]
        cy = centers_y[k]
        wz = warps[k]     
import scipy as sp
from scipy import interpolate

def warpRegion(Cwarp, roi_pad, (cx, cy, wz)):
    #Unpack region indices
    sx, ex, sy, ey = roi_pad
    xramp, yramp = np.mgrid[sx:ex+1, sy:ey+1]
    shapeofgrid=xramp.shape
    print 'shape of x grid'+str(shapeofgrid)
    xrampc = xramp - cx;
    yrampc = yramp - cy;
    xramp1 = 1/wz*xrampc;
    yramp1 = 1/wz*yrampc;
    xrampf = xrampc.flatten()
    yrampf = yrampc.flatten() 
    xramp1f = xramp1.flatten()
    yramp1f = yramp1.flatten()
    reg_w = sp.interpolate.interp2d(yrampf,xrampf,Cwarp, yramp1f, xramp1f,'cubic');

Upvotes: 0

Views: 1131

Answers (2)

Matt Alcock
Matt Alcock

Reputation: 12881

I would recommend using PIL. (Python Image Library)

http://www.pythonware.com/products/pil/

One method would be to: Generate a list of top colours per quadrant/sample area and hash the list

Upvotes: 0

Janne Karila
Janne Karila

Reputation: 25197

A possible explanation of the error message is that you are trying to use a NumPy array as a dict key or a set element. Look at where the error occurs and study the type of every variable referenced on that line. If you need help, post a runnable example and the full traceback of the exception.

Upvotes: 1

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