code: def correct_exposure(tens: Tensor, rgb: bool = True) -> Tensor:
      r"""
          Correct the exposure of an image.
  
      Args:
          tens (Tensor) : Any regular ``caer.Tensor``.
          rgb (bool): Operate on RGB images. Default: True.
  
      Returns:
          Tensor of shape ``(height, width, channels)``.
  
      Examples::
  
          >> tens = caer.data.sunrise(rgb=True)
          >> filtered = caer.transforms.correct_exposure(tens, rgb=True)
          >> filtered
          (427, 640, 3)
  
      """
      return _exposure_process(tens)
  
file_path: caer/caer/transforms/color.py
imports: import numpy
  import random
  import cv2
  import math
  from ..coreten import Tensor, to_tensor
  from ..annotations import Union, List, Tuple
  from .functional import is_list, _hls, _exposure_process
label_desc: Use image node_id 11 for calling a global function with example usage: correct_exposure(tens, rgb) and returns: _exposure_process