diff --git a/modelscope/pipelines/cv/image_color_enhance_pipeline.py b/modelscope/pipelines/cv/image_color_enhance_pipeline.py
index d21d879c..3a4cf8bc 100644
--- a/modelscope/pipelines/cv/image_color_enhance_pipeline.py
+++ b/modelscope/pipelines/cv/image_color_enhance_pipeline.py
@@ -55,5 +55,5 @@ class ImageColorEnhancePipeline(Pipeline):
 
     def postprocess(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
         output_img = (inputs['outputs'].squeeze(0) * 255.).type(
-            torch.uint8).cpu().permute(1, 2, 0).numpy()
+            torch.uint8).cpu().permute(1, 2, 0).numpy()[:, :, ::-1]
         return {OutputKeys.OUTPUT_IMG: output_img}
diff --git a/tests/pipelines/test_image_color_enhance.py b/tests/pipelines/test_image_color_enhance.py
index 9b72999e..7c3ae8c0 100644
--- a/tests/pipelines/test_image_color_enhance.py
+++ b/tests/pipelines/test_image_color_enhance.py
@@ -21,8 +21,7 @@ class ImageColorEnhanceTest(unittest.TestCase, DemoCompatibilityCheck):
     def pipeline_inference(self, pipeline: Pipeline, input_location: str):
         result = pipeline(input_location)
         if result is not None:
-            cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG][:, :,
-                                                                    [2, 1, 0]])
+            cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG])
             print(f'Output written to {osp.abspath("result.png")}')
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')