diff --git a/tests/spoof/tesseract_noop.py b/tests/spoof/tesseract_noop.py
index 8ec9062a..fcd83d8e 100755
--- a/tests/spoof/tesseract_noop.py
+++ b/tests/spoof/tesseract_noop.py
@@ -73,10 +73,11 @@ def main():
             output = sys.argv[-3]
             with Image.open(inputf) as im:
                 dpi = im.info['dpi']
-                imsize = im.size[0] * dpi[0] / 72, im.size[1] * dpi[1] / 72
+                pagesize = im.size[0] / dpi[0], im.size[1] / dpi[1]
+                ptsize = pagesize[0] * 72, pagesize[1] * 72
 
             pdf_out = pypdf.PdfFileWriter()
-            pdf_out.addBlankPage(imsize[0], imsize[1])
+            pdf_out.addBlankPage(ptsize[0], ptsize[1])
             with open(output + '.pdf', 'wb') as f:
                 pdf_out.write(f)
             with open(output + '.txt', 'w') as f:
diff --git a/tests/test_main.py b/tests/test_main.py
index ca5c02b6..20e1e0a3 100644
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -71,11 +71,10 @@ def test_quick(spoof_tesseract_cache, resources, outpdf):
     check_ocrmypdf(resources / 'ccitt.pdf', outpdf, env=spoof_tesseract_cache)
 
 
-@pytest.mark.filterwarnings('ignore:Image size')
 def test_deskew(spoof_tesseract_noop, resources, outdir):
     # Run with deskew
     deskewed_pdf = check_ocrmypdf(
-        resources / 'skew.pdf', outdir / 'skew.pdf', '-d', '-v', '1',
+        resources / 'skew.pdf', outdir / 'skew.pdf', '-d',
         env=spoof_tesseract_noop)
 
     # Now render as an image again and use Leptonica to find the skew angle
@@ -90,7 +89,8 @@ def test_deskew(spoof_tesseract_noop, resources, outdir):
         xres=150,
         yres=150,
         raster_device='pngmono',
-        log=log)
+        log=log,
+        pageno=1)
 
     from ocrmypdf.leptonica import Pix
     pix = Pix.read(str(deskewed_png))
@@ -129,8 +129,8 @@ def test_remove_background(spoof_tesseract_noop, resources, outdir):
         xres=100,
         yres=100,
         raster_device='png16m',
-        log=log)
-
+        log=log,
+        pageno=1)
 
     # The output image should contain pure white and black
     im = Image.open(output_png)