diff --git a/image_prediction/redai_adapter/model_wrapper.py b/image_prediction/redai_adapter/model_wrapper.py
index 5ad93a9..657d20d 100644
--- a/image_prediction/redai_adapter/model_wrapper.py
+++ b/image_prediction/redai_adapter/model_wrapper.py
@@ -35,9 +35,7 @@ class ModelWrapper(abc.ABC):
         # RED-5170: fails if image is 'broken'
         try:
             image, valid = self.__resize_and_convert(image), True
-        except OSError as err:
-            image, valid = self.__handle_resize_exception(err)
-        except Exception as err:
+        except (OSError, Exception) as err:
             image, valid = self.__handle_resize_exception(err)
 
         return image, valid
@@ -46,7 +44,7 @@ class ModelWrapper(abc.ABC):
         return image.resize(self.input_shape[:-1]).convert("RGB")
 
     def __handle_resize_exception(self, err):
-        logger.warn(f"{err}: couldn't resize image, replace and passthrough.")
+        logger.warn(f"{err}: Couldn't resize image, replace with blank image and passthrough.")
         image = Image.new("RGB", self.input_shape[:-1])
         valid = False
         return image, valid
diff --git a/image_prediction/stitching/merging.py b/image_prediction/stitching/merging.py
index fb96665..6286066 100644
--- a/image_prediction/stitching/merging.py
+++ b/image_prediction/stitching/merging.py
@@ -191,6 +191,8 @@ def concat_images(im1: Image, im2: Image, metadata: dict, axis):
         try:  # RED-5170: fails if image is 'broken'
             im_aggr.paste(im, box=box)
         except Exception as err:
-            logger.warn(f"{err}: couldn't merge image, replace and passthrough. (page: {metadata[Info.PAGE_IDX]})")
+            logger.warn(
+                f"{err}: Couldn't merge image, replace broken part by blank image and passthrough. (page: {metadata[Info.PAGE_IDX]})"
+            )
 
     return im_aggr
diff --git a/test/fixtures/model.py b/test/fixtures/model.py
index 812da4b..3cceec6 100644
--- a/test/fixtures/model.py
+++ b/test/fixtures/model.py
@@ -102,7 +102,7 @@ def model_handle_mock(estimator_mock):
             self.model = estimator_mock
 
         def prep_images(self, batch):
-            return [True for _ in batch], [None for _ in batch]
+            return [None for _ in batch], [True for _ in batch]
 
         def predict(self, batch):
             return [None for _ in batch]