diff --git a/python/src/operators/py_op_convert_to.cpp b/python/src/operators/py_op_convert_to.cpp
index 9100ce3f..e85efb6c 100644
--- a/python/src/operators/py_op_convert_to.cpp
+++ b/python/src/operators/py_op_convert_to.cpp
@@ -72,7 +72,7 @@ void PyOpConvertTo::Export(py::module& m) {
                 Refer to the rocCV C++ API reference for more information on this operation.
             
             Args:
-                dst (rocpycv.Tensor): The output tensor with gamma correction applied.
+                dst (rocpycv.Tensor): Output tensor which image results are written to.
                 src (rocpycv.Tensor): Input tensor containing one or more images.
                 alpha (double, optional): Scalar for output data. Defaults to 1.0.
                 beta (double, optional): Offset for the data. Defaults to 0.0.
diff --git a/python/src/operators/py_op_gamma_contrast.cpp b/python/src/operators/py_op_gamma_contrast.cpp
index 4ebe0930..c6f5e75f 100644
--- a/python/src/operators/py_op_gamma_contrast.cpp
+++ b/python/src/operators/py_op_gamma_contrast.cpp
@@ -72,7 +72,7 @@ void PyOpGammaContrast::Export(py::module& m) {
                 Refer to the rocCV C++ API reference for more information on this operation.
             
             Args:
-                dst (rocpycv.Tensor): The output tensor with gamma correction applied.
+                dst (rocpycv.Tensor): Output tensor which image results are written to.
                 src (rocpycv.Tensor): Input tensor containing one or more images.
                 gamma (float): Gamma correction value to apply to the images.
                 stream (rocpycv.Stream, optional): HIP stream to run this operation on.
diff --git a/tests/roccv/cpp/src/tests/operators/test_op_bilateral_filter.cpp b/tests/roccv/cpp/src/tests/operators/test_op_bilateral_filter.cpp
index f208962c..57239eb2 100644
--- a/tests/roccv/cpp/src/tests/operators/test_op_bilateral_filter.cpp
+++ b/tests/roccv/cpp/src/tests/operators/test_op_bilateral_filter.cpp
@@ -39,19 +39,20 @@ namespace {
  * @brief Verified golden C++ model for the bilateral filtering operation on one image.
  *
  * @tparam T Vectorized datatype of the image's pixels.
+ * @tparam BorderMode Border pixel extrapolation method
+ * @tparam BT Base type of the image data.
  * @param[in] input Input tensor containing image data.
  * @param[out] output Output tensor containing normalized image data.
  * @param[in] diameter Diameter of the work region
  * @param[in] sigmaColor Sigma component of Gaussian exponent for color difference
  * @param[in] sigmaSpace Sigma component of Gaussian exponent for pixel spatial distance
- * @param[in] borderMode Border pixel extrapolation method
  * @param[in] borderValue Color for constant border mode
  * @return None.
  */
-template <typename T, eBorderType borderMode, typename BT = detail::BaseType<T>>
+template <typename T, eBorderType BorderMode, typename BT = detail::BaseType<T>>
 void GenerateGoldenBilateral(std::vector<BT>& input, std::vector<BT>& output, int32_t batchSize, Size2D imageSize,
                              int diameter, float sigmaColor, float sigmaSpace, T borderValue) {
-    BorderWrapper<T, borderMode> src(ImageWrapper<T>(input, batchSize, imageSize.w, imageSize.h), borderValue);
+    BorderWrapper<T, BorderMode> src(ImageWrapper<T>(input, batchSize, imageSize.w, imageSize.h), borderValue);
     ImageWrapper<T> dst(output, batchSize, imageSize.w, imageSize.h);
     using namespace roccv::detail;
     using Worktype = MakeType<float, NumElements<T>>;
@@ -112,6 +113,7 @@ void GenerateGoldenBilateral(std::vector<BT>& input, std::vector<BT>& output, in
  * @brief Tests correctness of the bilateral filter operator, comparing it against a generated golden result.
  *
  * @tparam T Underlying datatype of the image's pixels.
+ * @tparam BorderMode Border pixel extrapolation method
  * @tparam BT Base type of the image data.
  * @param[in] batchSize Number of images in the batch.
  * @param[in] width Width of each image in the batch.
diff --git a/tests/roccv/cpp/src/tests/operators/test_op_convert_to.cpp b/tests/roccv/cpp/src/tests/operators/test_op_convert_to.cpp
index 6f14bdbd..225ea6d2 100644
--- a/tests/roccv/cpp/src/tests/operators/test_op_convert_to.cpp
+++ b/tests/roccv/cpp/src/tests/operators/test_op_convert_to.cpp
@@ -36,8 +36,10 @@ namespace {
 /**
  * @brief Verified golden C++ model for the ConvertTo operation.
  *
- * @tparam T Vectorized datatype of the image's pixels.
- * @tparam BT Base type of the image's data.
+ * @tparam SRC_DT Vectorized datatype of the input image's pixels.
+ * @tparam DEST_DT Vectorized datatype of the output image's pixels.
+ * @tparam BT_SRC Base type of the input image's data.
+ * @tparam BT_DEST Base type of the output image's data.
  * @param[in] input An input vector containing image data.
  * @param[in] batchSize The number of images in the batch.
  * @param[in] width Image width.