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I have calibrated camera with cv2.fisheye.calibrate with images of size 720x1280.

K = 
array([[541.11407173,   0.        , 659.87320043],
       [  0.        , 541.28079025, 318.68920531],
       [  0.        ,   0.        ,   1.        ]])
D =
array([[-3.91414244e-02],
       [-4.60198728e-03],
       [-3.02912651e-04],
       [ 2.83586453e-05]])

And performed un-distortion with

new_K = cv2.fisheye.estimateNewCameraMatrixForUndistortRectify(K, D, (1280, 720), np.eye(3), balance=1)
map1, map2 = cv2.fisheye.initUndistortRectifyMap(K, D, np.eye(3), new_K, (1280, 720), cv2.CV_16SC2)

How can I achieve max obtainable rectangular image?

If I directly crop this image, quality deteriotes :(

I guess I have to play with balance, new_size, fov_scale properties of estimateNewCameraMatrixForUndistortRectify(). And also some properties of initUndistortRectifyMap().

I have calibrated camera with cv2.fisheye.calibrate with images of size 720x1280.

K = 
array([[541.11407173,   0.        , 659.87320043],
       [  0.        , 541.28079025, 318.68920531],
       [  0.        ,   0.        ,   1.        ]])
D =
array([[-3.91414244e-02],
       [-4.60198728e-03],
       [-3.02912651e-04],
       [ 2.83586453e-05]])

And performed un-distortion with

new_K = cv2.fisheye.estimateNewCameraMatrixForUndistortRectify(K, D, (1280, 720), np.eye(3), balance=1)
map1, map2 = cv2.fisheye.initUndistortRectifyMap(K, D, np.eye(3), new_K, (1280, 720), cv2.CV_16SC2)
undistorted_img = cv2.remap(img, map1, map2, interpolation=cv2.INTER_CUBIC, borderMode=cv2.BORDER_CONSTANT)

How can I achieve max obtainable rectangular image?

If I directly crop this image, quality deteriotes :(

I guess I have to play with balance, new_size, fov_scale properties of estimateNewCameraMatrixForUndistortRectify(). And also some properties of initUndistortRectifyMap().

I have calibrated camera with cv2.fisheye.calibrate with images of size 720x1280.720x1280. Python script

K = 
array([[541.11407173,   0.        , 659.87320043],
       [  0.        , 541.28079025, 318.68920531],
       [  0.        ,   0.        ,   1.        ]])
D =
array([[-3.91414244e-02],
       [-4.60198728e-03],
       [-3.02912651e-04],
       [ 2.83586453e-05]])

And performed un-distortion with

new_K = cv2.fisheye.estimateNewCameraMatrixForUndistortRectify(K, D, (1280, 720), np.eye(3), balance=1)
map1, map2 = cv2.fisheye.initUndistortRectifyMap(K, D, np.eye(3), new_K, (1280, 720), cv2.CV_16SC2)
undistorted_img = cv2.remap(img, map1, map2, interpolation=cv2.INTER_CUBIC, borderMode=cv2.BORDER_CONSTANT)

How can I achieve max obtainable rectangular image?

If I directly crop this image, quality deteriotes :(

I guess I have to play with balance, new_size, fov_scale properties of estimateNewCameraMatrixForUndistortRectify(). And also some properties of initUndistortRectifyMap().