2020年4月21日 · I had a task needed to convert RGB to YIQ and back using only simple functions (in lib: plt cv2 np) What I got is the "naive" code solution: def transformRGB2YIQ(imgRGB: np.ndarray) -> np.ndar...

2018年3月18日 · YIQ is the as YUV, with one difference: The U and V components of the YUV color space are rotated by 33° counter-clockwise: Source: German Wikipedia, YIQ. So when you combine the matrix for the RGB to YUV conversion and this one, you get the YIQ matrix.

2021年5月12日 · Here is a slightly modified version of your code: import numpy as np def RGB2YIQ(img): BGR = img.copy().astype(float) R = BGR[:,:,0] G = BGR[:,:,1] B = BGR[:,:,2] Y ...

2016年2月21日 · In matlab we have rgb2ntsc() function to get YIQ components of a RGB image. Is there a similar function available in python (numpy ,matplotlib or scipy libraries)? Also to apply discrete cosine transform (compress it) we can use dct2() , in matlab , …

2017年10月28日 · We do the same kind of multiplication for all the pixels in the whole RGB image and obtain the desired YIQ image. Now, since they do this whole implementation using np.dot(arr, yiq_from_rgb.T), to have the weighting work out correctly the transformation matrix

2015年3月24日 · Each pixel can be converted independently into YIQ. RGB to YIQ is simply a weighted sum of components for each output channel of a pixel. You can do the above which will convert every pixel into YIQ, then split it up into blocks. I don't see what the problem is. –

2018年10月24日 · I want to converse image of 700 on 500 pixels encoded in RGB space to YIQ space, for that I need to use matrix multiplication in the form . P = A*T. When P is a vector representing YIQ color space, T is a vector representing …

2019年3月10日 · need help with this code,it come outs a weird image. Using Python and OpenCV RGB->YIQ def RGBtoYIQ(): path = metodos.SelectIMG() img = cv2.imread(path) w, h ,c= img.shape print(img.shape) Y = np...

2014年3月2日 · I had to simply convert color(not image) from RGB to YIQ. – Artem Ryblov. Commented Mar 4, 2014 at 6:56.

If your hue shift is constant then you can skip the atan, sqrt, sin, and cos. What you're doing is converting them to polar coordinates, adding to the angle, and converting back. You can do this math with a 2x2 rotation matrix. If you don't need to do any other math in the yiq space you can precalculate the whole transform.