diff --git a/lib/src/core/mat.dart b/lib/src/core/mat.dart
index 438ce07a..ec5d9898 100644
--- a/lib/src/core/mat.dart
+++ b/lib/src/core/mat.dart
@@ -29,7 +29,7 @@ class Mat extends CvStruct<cvg.Mat> {
   /// Mat (Size size, int type, void *data, size_t step=AUTO_STEP)
   ///
   /// https://docs.opencv.org/4.x/d3/d63/classcv_1_1Mat.html#a9fa74fb14362d87cb183453d2441948f
-  factory Mat.fromList(int rows, int cols, MatType type, List data, [int step = 0]) {
+  factory Mat.fromList(int rows, int cols, MatType type, List<num> data, [int step = 0]) {
     assert(data is List<int> || data is List<double>, "Only support List<int> or List<double>");
     final p = calloc<cvg.Mat>();
     // 1 copy
@@ -425,7 +425,7 @@ class Mat extends CvStruct<cvg.Mat> {
   ///
   /// https://docs.opencv.org/4.x/d3/d63/classcv_1_1Mat.html#a7a6d7e3696b8b19b9dfac3f209118c40
   T at<T>(int row, int col, [int? i2]) {
-    if (T == int || T == double) {
+    if (T == int || T == double || T == num) {
       return atNum(row, col, i2) as T;
     } else if (isSubtype<T, CvVec>()) {
       return atVec<T>(row, col);
@@ -1282,21 +1282,21 @@ class Mat extends CvStruct<cvg.Mat> {
   void release() => cvRun(() => CFFI.Mat_Release(ptr));
 
   /// This Method converts single-channel Mat to 2D List
-  List<List<num>> toList() {
-    switch (type.depth) {
-      case MatType.CV_8U:
-      case MatType.CV_8S:
-      case MatType.CV_16U:
-      case MatType.CV_16S:
-      case MatType.CV_32S:
-        return List.generate(rows, (row) => List.generate(cols, (col) => at<int>(row, col)));
-      case MatType.CV_32F:
-      case MatType.CV_64F:
-        return List.generate(rows, (row) => List.generate(cols, (col) => at<double>(row, col)));
-      default:
-        throw UnsupportedError("toList() for $type is not supported!");
-    }
-  }
+  List<List<num>> toList() => switch (type.depth) {
+        MatType.CV_8U => List.generate(rows, (row) => List.generate(cols, (col) => atU8(row, col))),
+        MatType.CV_8S => List.generate(rows, (row) => List.generate(cols, (col) => atI8(row, col))),
+        MatType.CV_16U =>
+          List.generate(rows, (row) => List.generate(cols, (col) => atU16(row, col))),
+        MatType.CV_16S =>
+          List.generate(rows, (row) => List.generate(cols, (col) => atI16(row, col))),
+        MatType.CV_32S =>
+          List.generate(rows, (row) => List.generate(cols, (col) => atI32(row, col))),
+        MatType.CV_32F =>
+          List.generate(rows, (row) => List.generate(cols, (col) => atF32(row, col))),
+        MatType.CV_64F =>
+          List.generate(rows, (row) => List.generate(cols, (col) => atF64(row, col))),
+        _ => throw UnsupportedError("toList() for $type is not supported!")
+      };
 
   /// Returns a 3D list of the mat, only for multi-channel mats.
   /// The list is ordered as [row][col][channel].
@@ -1310,10 +1310,10 @@ class Mat extends CvStruct<cvg.Mat> {
   /// final list = mat.toList3D<Vec3b, int>();
   /// print(list); // [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]]
   /// ```
-  List<List<List<P>>> toList3D<T extends CvVec, P extends num>() {
+  List<List<List<num>>> toList3D<T extends CvVec>() {
     assert(channels >= 2, "toList3D() only for channels >= 2, but this.channels=$channels");
     return List.generate(
-        rows, (row) => List.generate(cols, (col) => at<T>(row, col).val as List<P>));
+        rows, (row) => List.generate(cols, (col) => at<T>(row, col).val));
   }
 
   /// Get the data pointer of the Mat, this getter will reture a view of native
diff --git a/test/core/core_test.dart b/test/core/core_test.dart
index 2bb20b9a..17af5c33 100644
--- a/test/core/core_test.dart
+++ b/test/core/core_test.dart
@@ -339,7 +339,7 @@ void main() async {
     for (int channel in [1, 2, 3, 4]) {
       for (var depth in depthSrc) {
         final srcType = cv.MatType.makeType(depth, channel);
-        final src = cv.Mat.zeros(3, 3, srcType);
+        final src = cv.Mat.randu(3, 3, srcType, low: cv.Scalar.all(0), high: cv.Scalar.all(255));
         final lutSize = switch (depth) {
           cv.MatType.CV_8U || cv.MatType.CV_8S => 256,
           cv.MatType.CV_16U || cv.MatType.CV_16S => 65536,
@@ -347,13 +347,30 @@ void main() async {
         };
         for (var lutDepth in depthLut) {
           final lutType = cv.MatType.makeType(lutDepth, channel);
-          final lut = cv.Mat.fromScalar(1, lutSize, lutType, cv.Scalar(255, 241, 21, 0));
-          testOneLUT(src, lut);
+          // 0-1: 65536-1-0 2-3: 65536-1-1 3-4: 65536-1-2
+          final lutData = switch (lutDepth) {
+            cv.MatType.CV_32F || cv.MatType.CV_64F => List.generate(
+                lutSize * lutType.channels, (i) => (lutSize - (i ~/ channel) - 1).toDouble()),
+            _ => List.generate(lutSize * lutType.channels, (i) => lutSize - (i ~/ channel) - 1),
+          };
+          final lutInverse = cv.Mat.fromList(1, lutSize, lutType, lutData);
+          testOneLUT(src, lutInverse);
         }
       }
     }
   });
 
+  test('cv.LUT 1', () {
+    final mat = cv.imread("test/images/lenna.png", flags: cv.IMREAD_COLOR);
+    final src = mat.convertTo(cv.MatType.CV_16UC3, alpha: 65536.0/255.0);
+    final lutData = List.generate(65536 * 3, (i) => 65536 - (i ~/ 3) - 1);
+    final lut = cv.Mat.fromList(1, 65536, cv.MatType.CV_16UC3, lutData);
+    final dst = cv.LUT(src, lut);
+    expect(dst.isEmpty, equals(false));
+    expect(dst.shape, src.shape);
+    // cv.imwrite("lut.png", dst.convertTo(cv.MatType.CV_8UC3, alpha: 255.0/65536.0));
+  });
+
   test('cv.magnitude', () {
     final src1 = cv.Mat.randu(4, 4, cv.MatType.CV_32FC1);
     final src2 = cv.Mat.randu(4, 4, cv.MatType.CV_32FC1);
diff --git a/test/core/mat_test.dart b/test/core/mat_test.dart
index b6a605a9..86e5ffba 100644
--- a/test/core/mat_test.dart
+++ b/test/core/mat_test.dart
@@ -32,7 +32,7 @@ void main() async {
         mat3.rows,
         (row) => List.generate(
             mat3.cols, (col) => List.generate(mat3.channels, (c) => row == col && c == 0 ? 1 : 0)));
-    expect(mat3.toList3D<cv.Vec3b, int>(), expected3);
+    expect(mat3.toList3D<cv.Vec3b>(), expected3);
 
     final mat4 = cv.Mat.ones(100, 100, cv.MatType.CV_8UC3);
     expect((mat4.width, mat4.height, mat4.channels), (100, 100, 3));