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from PIL import Image
import itertools

def chop(object,n):
    return [object[i:i+n] for i in range(0, len(object), n)]

def organize(object):
    a = []
    b = []
    c = []
    for i in object:
        a.append(i[0])
        b.append(i[1])
        c.append(i[2])
    a = (sum(a)/len(a))
    b = (sum(b)/len(b))
    c = (sum(c)/len(c))
    total = []
    for i in range(len(object)):
        total.append((a,b,c))
    return total

def rngmirror(object):
    from lc import halflist
    full = halflist(object)
    final = full[0]+list(reversed(full[1]))
    return final

def gradientize(object):
    increments = range(1, len(object)+1)
    increments = rngmirror(increments)
    total = []
    for i, i2 in zip(object, increments):
        tep = []
        for a in i:
            tep.append(a*i2/len(object))
        total.append(tuple(tep))
    return total

img = Image.open('ex.jpg')
data = img.getdata()

data = list(itertools.chain(*[gradientize(a) for a in [organize(i) for i in chop(list(data), img.size[0]/8)]]))

es = Image.new('RGB', img.size, "white")
es.putdata(data)
es.show()