diff --git a/kornia/color/yuv.py b/kornia/color/yuv.py
index 1334be10894..bf620c83ed3 100644
--- a/kornia/color/yuv.py
+++ b/kornia/color/yuv.py
@@ -11,7 +11,13 @@ def rgb_to_yuv(image: Tensor) -> Tensor:
 
     .. image:: _static/img/rgb_to_yuv.png
 
-    The image data is assumed to be in the range of (0, 1).
+    The image data is assumed to be in the range of :math:`(0, 1)`. The range of the output is of
+    :math:`(0, 1)` to luma and the ranges of U and V are :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`,
+    respectively.
+
+    The YUV model adopted here follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Args:
         image: RGB Image to be converted to YUV with shape :math:`(*, 3, H, W)`.
@@ -45,8 +51,14 @@ def rgb_to_yuv(image: Tensor) -> Tensor:
 def rgb_to_yuv420(image: Tensor) -> Tuple[Tensor, Tensor]:
     r"""Convert an RGB image to YUV 420 (subsampled).
 
-    The image data is assumed to be in the range of (0, 1). Input need to be padded to be evenly divisible by 2
-    horizontal and vertical. This function will output chroma siting (0.5,0.5)
+    Input need to be padded to be evenly divisible by 2 horizontal and vertical.
+
+    The image data is assumed to be in the range of :math:`(0, 1)`. The range of the output is of :math:`(0, 1)` to
+    luma and the ranges of U and V are :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`, respectively.
+
+    The YUV model adopted here follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Args:
         image: RGB Image to be converted to YUV with shape :math:`(*, 3, H, W)`.
@@ -76,8 +88,15 @@ def rgb_to_yuv420(image: Tensor) -> Tuple[Tensor, Tensor]:
 def rgb_to_yuv422(image: Tensor) -> Tuple[Tensor, Tensor]:
     r"""Convert an RGB image to YUV 422 (subsampled).
 
-    The image data is assumed to be in the range of (0, 1). Input need to be padded to be evenly divisible by 2
-    vertical. This function will output chroma siting (0.5)
+    Input need to be padded to be evenly divisible by 2 vertical.
+
+    The image data is assumed to be in the range of :math:`(0, 1)`. The range of the output is of
+    :math:`(0, 1)` to luma and the ranges of U and V are :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`,
+    respectively.
+
+    The YUV model adopted here follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Args:
         image: RGB Image to be converted to YUV with shape :math:`(*, 3, H, W)`.
@@ -107,7 +126,12 @@ def rgb_to_yuv422(image: Tensor) -> Tuple[Tensor, Tensor]:
 def yuv_to_rgb(image: Tensor) -> Tensor:
     r"""Convert an YUV image to RGB.
 
-    The image data is assumed to be in the range of (0, 1) for luma and (-0.5, 0.5) for chroma.
+    The image data is assumed to be in the range of :math:`(0, 1)` for luma (Y). The ranges of U and V are
+    :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`, respectively.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Args:
         image: YUV Image to be converted to RGB with shape :math:`(*, 3, H, W)`.
@@ -141,9 +165,14 @@ def yuv_to_rgb(image: Tensor) -> Tensor:
 def yuv420_to_rgb(imagey: Tensor, imageuv: Tensor) -> Tensor:
     r"""Convert an YUV420 image to RGB.
 
-    The image data is assumed to be in the range of (0, 1) for luma and (-0.5, 0.5) for chroma.
     Input need to be padded to be evenly divisible by 2 horizontal and vertical.
-    This function assumed chroma siting is (0.5, 0.5)
+
+    The image data is assumed to be in the range of :math:`(0, 1)` for luma (Y). The ranges of U and V are
+    :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`, respectively.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Args:
         imagey: Y (luma) Image plane to be converted to RGB with shape :math:`(*, 1, H, W)`.
@@ -192,8 +221,14 @@ def yuv420_to_rgb(imagey: Tensor, imageuv: Tensor) -> Tensor:
 def yuv422_to_rgb(imagey: Tensor, imageuv: Tensor) -> Tensor:
     r"""Convert an YUV422 image to RGB.
 
-    The image data is assumed to be in the range of (0, 1) for luma and (-0.5, 0.5) for chroma.
-    Input need to be padded to be evenly divisible by 2 vertical. This function assumed chroma siting is (0.5)
+    Input need to be padded to be evenly divisible by 2 vertical.
+
+    The image data is assumed to be in the range of :math:`(0, 1)` for luma (Y). The ranges of U and V are
+    :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`, respectively.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Args:
         imagey: Y (luma) Image plane to be converted to RGB with shape :math:`(*, 1, H, W)`.
@@ -236,7 +271,11 @@ def yuv422_to_rgb(imagey: Tensor, imageuv: Tensor) -> Tensor:
 class RgbToYuv(Module):
     r"""Convert an image from RGB to YUV.
 
-    The image data is assumed to be in the range of (0, 1).
+    The image data is assumed to be in the range of :math:`(0, 1)`.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Returns:
         YUV version of the image.
@@ -261,7 +300,13 @@ def forward(self, input: Tensor) -> Tensor:
 class RgbToYuv420(Module):
     r"""Convert an image from RGB to YUV420.
 
-    The image data is assumed to be in the range of (0, 1). Width and Height evenly divisible by 2.
+    Width and Height evenly divisible by 2.
+
+    The image data is assumed to be in the range of :math:`(0, 1)`.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Returns:
         YUV420 version of the image.
@@ -286,7 +331,13 @@ def forward(self, yuvinput: Tensor) -> Tuple[Tensor, Tensor]:  # skipcq: PYL-R02
 class RgbToYuv422(Module):
     r"""Convert an image from RGB to YUV422.
 
-    The image data is assumed to be in the range of (0, 1). Width evenly disvisible by 2.
+    Width must be evenly disvisible by 2.
+
+    The image data is assumed to be in the range of :math:`(0, 1)`.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Returns:
         YUV422 version of the image.
@@ -311,7 +362,12 @@ def forward(self, yuvinput: Tensor) -> Tuple[Tensor, Tensor]:  # skipcq: PYL-R02
 class YuvToRgb(Module):
     r"""Convert an image from YUV to RGB.
 
-    The image data is assumed to be in the range of (0, 1) for luma and (-0.5, 0.5) for chroma.
+    The image data is assumed to be in the range of :math:`(0, 1)` for luma (Y). The ranges of U and V are
+    :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`, respectively.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Returns:
         RGB version of the image.
@@ -333,8 +389,14 @@ def forward(self, input: Tensor) -> Tensor:
 class Yuv420ToRgb(Module):
     r"""Convert an image from YUV to RGB.
 
-    The image data is assumed to be in the range of (0, 1) for luma and (-0.5, 0.5) for chroma.
-    Width and Height evenly divisible by 2.
+    Width and Height must be evenly divisible by 2.
+
+    The image data is assumed to be in the range of :math:`(0, 1)` for luma (Y). The ranges of U and V are
+    :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`, respectively.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Returns:
         RGB version of the image.
@@ -358,8 +420,14 @@ def forward(self, inputy: Tensor, inputuv: Tensor) -> Tensor:  # skipcq: PYL-R02
 class Yuv422ToRgb(Module):
     r"""Convert an image from YUV to RGB.
 
-    The image data is assumed to be in the range of (0, 1) for luma and (-0.5, 0.5) for chroma.
-    Width evenly divisible by 2.
+    Width must be evenly divisible by 2.
+
+    The image data is assumed to be in the range of :math:`(0, 1)` for luma (Y). The ranges of U and V are
+    :math:`(-0.436, 0.436)` and :math:`(-0.615, 0.615)`, respectively.
+
+    YUV formula follows M/PAL values (see
+    `BT.470-5 <https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.470-5-199802-S!!PDF-E.pdf>`_, Table 2,
+    items 2.5 and 2.6).
 
     Returns:
         RGB version of the image.