diff --git a/example/augmentation/bb-transformed.jpg b/example/augmentation/bb-transformed.jpg
index 770af6c..d572ac6 100644
Binary files a/example/augmentation/bb-transformed.jpg and b/example/augmentation/bb-transformed.jpg differ
diff --git a/vision/aug/function.go b/vision/aug/function.go
index c19713b..c3de4ba 100644
--- a/vision/aug/function.go
+++ b/vision/aug/function.go
@@ -1274,8 +1274,8 @@ func blurredDegenerateImage(img *ts.Tensor) *ts.Tensor {
 	// kernel = torch.ones((3, 3), dtype=dtype, device=img.device)
 	kernel := ts.MustOnes([]int64{3, 3}, dtype, device)
 
-	// kernel[1, 1] = 5.0 - Center kernel value
-	kernelView := kernel.MustNarrow(1, 1, 2, false)
+	// kernel[1, 1] = 5.0
+	kernelView := kernel.MustNarrow(1, 1, 1, false).MustNarrow(0, 1, 1, true)
 	centerVal := kernelView.MustOnesLike(false).MustMul1(ts.FloatScalar(5.0), true)
 	kernelView.Copy_(centerVal) // center kernel value
 	centerVal.MustDrop()
@@ -1299,13 +1299,16 @@ func blurredDegenerateImage(img *ts.Tensor) *ts.Tensor {
 	dilation := []int64{1, 1}
 	resTmpDim := resTmp.MustSize()
 	group := resTmpDim[len(resTmpDim)-3]
+	// resTmp1 shape: [1, 3, h, w]
 	resTmp1 := ts.MustConv2d(resTmp, kernelExp, ts.NewTensor(), stride, padding, dilation, group)
 
 	// result_tmp = _cast_squeeze_out(result_tmp, need_cast, need_squeeze, out_dtype)
+	// resTmp2 shape: [3, h, w]
 	resTmp2 := castSqueezeOut(resTmp1, needCast, needSqueeze, outDtype)
 
 	// result = img.clone()
-	out := img.MustShallowClone()
+	// NOTE. out := img.MustShallowClone() doesn't work!
+	out := img.MustZerosLike(false)
 
 	// result[..., 1:-1, 1:-1] = result_tmp
 	hDim := int64(len(dim) - 2) // second last dim
diff --git a/vision/aug/sharpness.go b/vision/aug/sharpness.go
index 502a6ce..1079044 100644
--- a/vision/aug/sharpness.go
+++ b/vision/aug/sharpness.go
@@ -53,23 +53,18 @@ func newRandomAdjustSharpness(opts ...sharpnessOption) *RandomAdjustSharpness {
 	}
 }
 
+// NOTE. input img dtype shoule be `uint8` (Byte)
 func (ras *RandomAdjustSharpness) Forward(x *ts.Tensor) *ts.Tensor {
-	fx := Byte2FloatImage(x)
-
 	r := randPvalue()
 	var out *ts.Tensor
 	switch {
 	case r < ras.pvalue:
-		out = adjustSharpness(fx, ras.sharpnessFactor)
+		out = adjustSharpness(x, ras.sharpnessFactor)
 	default:
-		out = fx.MustShallowClone()
+		out = x.MustShallowClone()
 	}
 
-	bx := Float2ByteImage(out)
-	fx.MustDrop()
-	out.MustDrop()
-
-	return bx
+	return out
 }
 
 func WithRandomAdjustSharpness(opts ...sharpnessOption) Option {