I am experimenting with JPEG compression using python. I load in a tiff image and store it as numpy uint8 RGB array. I was doing this for color mapping.
def
You have to do your intermediate calculations in floating point. The posterization should tip you off; you have a lot of "hot" (saturated) pixels.
def rgb2ycbcr(im):
xform = np.array([[.299, .587, .114], [-.1687, -.3313, .5], [.5, -.4187, -.0813]])
ycbcr = im.dot(xform.T)
ycbcr[:,:,[1,2]] += 128
return np.uint8(ycbcr)
def ycbcr2rgb(im):
xform = np.array([[1, 0, 1.402], [1, -0.34414, -.71414], [1, 1.772, 0]])
rgb = im.astype(np.float)
rgb[:,:,[1,2]] -= 128
rgb = rgb.dot(xform.T)
np.putmask(rgb, rgb > 255, 255)
np.putmask(rgb, rgb < 0, 0)
return np.uint8(rgb)