imgcv.quantization.reduce_gray_levels

Functions

check_image(image)	Check if the input is a numpy array
reduce_gray_levels(image, k)	Reduce the number of gray levels in the input image to desired levels

Module Contents

imgcv.quantization.reduce_gray_levels.check_image(image)

Check if the input is a numpy array

Parameters:

image (np.ndarray) – Input image to be transformed

Raises:

• TypeError – If the input is not a numpy array

• ValueError – If the input is not a grayscale or color image

imgcv.quantization.reduce_gray_levels.reduce_gray_levels(image, k)

Reduce the number of gray levels in the input image to desired levels

Parameters:

• image (np.ndarray) – Input image to be transformed

• k (int) – Desired number of bits to represent the image. The number of intensity levels will be 2^k. For example, if k=2, the number of intensity levels will be 4.

Raises:

• TypeError – If the input is not a numpy array

• ValueError – If the input is not a grayscale or color image

Returns:

Image with reduced gray levels

Return type:

np.ndarray