Bug 891884 - toBlob should support the quality parameter as toDataURL does. r=joedrew, sr=mrbkap, a=leo+
authorDale Harvey <dale@arandomurl.com>
Thu, 25 Jul 2013 10:05:44 -0400
changeset 119805 692a38cdde6b7161541207f2be78d8e3d4a65807
parent 119804 142cb317a178fedd46c7fc48d197b952c728eae0
child 119806 7a8815ce373feec60166b43396114b9899d08bb0
push id1003
push userryanvm@gmail.com
push dateThu, 25 Jul 2013 14:06:12 +0000
reviewersjoedrew, mrbkap, leo
bugs891884
milestone18.1
Bug 891884 - toBlob should support the quality parameter as toDataURL does. r=joedrew, sr=mrbkap, a=leo+
content/html/content/public/nsHTMLCanvasElement.h
content/html/content/reftests/reftest.list
content/html/content/reftests/toblob-todataurl/blob.js
content/html/content/reftests/toblob-todataurl/dataurl.js
content/html/content/reftests/toblob-todataurl/images/original.png
content/html/content/reftests/toblob-todataurl/images/q0.jpg
content/html/content/reftests/toblob-todataurl/images/q100.jpg
content/html/content/reftests/toblob-todataurl/images/q25.jpg
content/html/content/reftests/toblob-todataurl/images/q50.jpg
content/html/content/reftests/toblob-todataurl/images/q75.jpg
content/html/content/reftests/toblob-todataurl/images/q92.jpg
content/html/content/reftests/toblob-todataurl/quality-0-ref.html
content/html/content/reftests/toblob-todataurl/quality-100-ref.html
content/html/content/reftests/toblob-todataurl/quality-25-ref.html
content/html/content/reftests/toblob-todataurl/quality-50-ref.html
content/html/content/reftests/toblob-todataurl/quality-75-ref.html
content/html/content/reftests/toblob-todataurl/quality-92-ref.html
content/html/content/reftests/toblob-todataurl/reftest.list
content/html/content/reftests/toblob-todataurl/sample.js
content/html/content/reftests/toblob-todataurl/toblob-quality-0.html
content/html/content/reftests/toblob-todataurl/toblob-quality-100.html
content/html/content/reftests/toblob-todataurl/toblob-quality-25.html
content/html/content/reftests/toblob-todataurl/toblob-quality-50.html
content/html/content/reftests/toblob-todataurl/toblob-quality-75.html
content/html/content/reftests/toblob-todataurl/toblob-quality-92.html
content/html/content/reftests/toblob-todataurl/toblob-quality-default.html
content/html/content/reftests/toblob-todataurl/toblob-quality-undefined.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-0.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-100.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-25.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-50.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-75.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-92.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-default.html
content/html/content/reftests/toblob-todataurl/todataurl-quality-undefined.html
content/html/content/src/nsHTMLCanvasElement.cpp
dom/interfaces/html/nsIDOMHTMLCanvasElement.idl
--- a/content/html/content/public/nsHTMLCanvasElement.h
+++ b/content/html/content/public/nsHTMLCanvasElement.h
@@ -156,16 +156,20 @@ public:
 protected:
   nsIntSize GetWidthHeight();
 
   nsresult UpdateContext(nsIPropertyBag *aNewContextOptions = nullptr);
   nsresult ExtractData(const nsAString& aType,
                        const nsAString& aOptions,
                        nsIInputStream** aStream,
                        bool& aFellBackToPNG);
+  nsresult ParseParams(const nsAString& aType,
+                       nsIVariant* aEncoderOptions,
+                       nsAString& aParams,
+                       bool* usingCustomParseOptions);
   nsresult ToDataURLImpl(const nsAString& aMimeType,
                          nsIVariant* aEncoderOptions,
                          nsAString& aDataURL);
   nsresult MozGetAsFileImpl(const nsAString& aName,
                             const nsAString& aType,
                             nsIDOMFile** aResult);
   nsresult GetContextHelper(const nsAString& aContextId,
                             bool aForceThebes,
--- a/content/html/content/reftests/reftest.list
+++ b/content/html/content/reftests/reftest.list
@@ -1,10 +1,11 @@
 # autofocus attribute (we can't test with mochitests)
 include autofocus/reftest.list
+include toblob-todataurl/reftest.list
 
 == 41464-1a.html 41464-1-ref.html
 == 41464-1b.html 41464-1-ref.html
 == 52019-1.html 52019-1-ref.html
 != 468263-1a.html about:blank
 != 468263-1b.html about:blank
 != 468263-1c.html about:blank
 != 468263-1d.html about:blank
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/blob.js
@@ -0,0 +1,68 @@
+function init() {
+  function end() {
+    document.documentElement.className = '';
+  }
+
+  function next() {
+    compressAndDisplay(original, end);
+  }
+
+  var original = getImageFromDataUrl(sample);
+  setImgLoadListener(original, next);
+}
+
+function compressAndDisplay(image, next) {
+  var canvas = document.createElement('canvas');
+  canvas.width = image.naturalWidth;
+  canvas.height = image.naturalHeight;
+  var ctx = canvas.getContext('2d');
+  ctx.drawImage(image, 0, 0);
+
+  function gotBlob(blob) {
+    var img = getImageFromBlob(blob);
+    setImgLoadListener(img, next);
+    document.body.appendChild(img);
+  }
+
+  // I want to test passing 'undefined' as quality as well
+  if ('quality' in window) {
+    canvas.toBlob(gotBlob, 'image/jpeg', quality);
+  } else {
+    canvas.toBlob(gotBlob, 'image/jpeg');
+  }
+}
+
+function setImgLoadListener(img, func) {
+  if (img.complete) {
+    func.call(img, { target: img});
+  } else {
+    img.addEventListener('load', func);
+  }
+}
+
+function naturalDimensionsHandler(e) {
+  var img = e.target;
+  img.width = img.naturalWidth;
+  img.height = img.naturalHeight;
+}
+
+function getImageFromBlob(blob) {
+  var img = document.createElement('img');
+  img.src = window.URL.createObjectURL(blob);
+  setImgLoadListener(img, naturalDimensionsHandler);
+  setImgLoadListener(img, function(e) {
+    window.URL.revokeObjectURL(e.target.src);
+  });
+
+  return img;
+}
+
+function getImageFromDataUrl(url) {
+  var img = document.createElement('img');
+  img.src = url;
+  setImgLoadListener(img, naturalDimensionsHandler);
+
+  return img;
+}
+
+init();
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/dataurl.js
@@ -0,0 +1,56 @@
+function init() {
+  function end() {
+    document.documentElement.className = '';
+  }
+
+  function next() {
+    compressAndDisplay(original, end);
+  }
+
+  var original = getImageFromDataUrl(sample);
+  setImgLoadListener(original, next);
+}
+
+function compressAndDisplay(image, next) {
+  var canvas = document.createElement('canvas');
+  canvas.width = image.naturalWidth;
+  canvas.height = image.naturalHeight;
+  var ctx = canvas.getContext('2d');
+  ctx.drawImage(image, 0, 0);
+
+  var dataUrl;
+  // I want to test passing undefined as well
+  if ('quality' in window) {
+    dataUrl = canvas.toDataURL('image/jpeg', quality);
+  } else {
+    dataUrl = canvas.toDataURL('image/jpeg');
+  }
+
+  var img = getImageFromDataUrl(dataUrl);
+  setImgLoadListener(img, next);
+  document.body.appendChild(img);
+}
+
+function setImgLoadListener(img, func) {
+  if (img.complete) {
+    func.call(img, { target: img});
+  } else {
+    img.addEventListener('load', func);
+  }
+}
+
+function naturalDimensionsHandler(e) {
+  var img = e.target;
+  img.width = img.naturalWidth;
+  img.height = img.naturalHeight;
+}
+
+function getImageFromDataUrl(url) {
+  var img = document.createElement('img');
+  img.src = url;
+  setImgLoadListener(img, naturalDimensionsHandler);
+
+  return img;
+}
+
+init();
new file mode 100644
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new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/quality-0-ref.html
@@ -0,0 +1,2 @@
+<!doctype html>
+<html><body><img src='images/q0.jpg'/></table></body></html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/quality-100-ref.html
@@ -0,0 +1,2 @@
+<!doctype html>
+<html><body><img src='images/q100.jpg'/></table></body></html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/quality-25-ref.html
@@ -0,0 +1,2 @@
+<!doctype html>
+<html><body><img src='images/q25.jpg'/></table></body></html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/quality-50-ref.html
@@ -0,0 +1,2 @@
+<!doctype html>
+<html><body><img src='images/q50.jpg'/></table></body></html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/quality-75-ref.html
@@ -0,0 +1,2 @@
+<!doctype html>
+<html><body><img src='images/q75.jpg'/></table></body></html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/quality-92-ref.html
@@ -0,0 +1,2 @@
+<!doctype html>
+<html><body><img src='images/q92.jpg'/></table></body></html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/reftest.list
@@ -0,0 +1,16 @@
+fuzzy-if(Android,105,482) == toblob-quality-0.html quality-0-ref.html
+fuzzy-if(Android,38,2024) == toblob-quality-25.html quality-25-ref.html
+fuzzy-if(Android,29,2336) == toblob-quality-50.html quality-50-ref.html
+fuzzy-if(Android,23,3533) == toblob-quality-75.html quality-75-ref.html
+fuzzy-if(Android,16,4199) == toblob-quality-92.html quality-92-ref.html
+fuzzy-if(Android,8,2461) == toblob-quality-100.html quality-100-ref.html
+fuzzy-if(Android,16,4199) == toblob-quality-undefined.html quality-92-ref.html
+fuzzy-if(Android,16,4199) == toblob-quality-default.html quality-92-ref.html
+fuzzy-if(Android,105,482) == todataurl-quality-0.html quality-0-ref.html
+fuzzy-if(Android,38,2024) == todataurl-quality-25.html quality-25-ref.html
+fuzzy-if(Android,29,2336) == todataurl-quality-50.html quality-50-ref.html
+fuzzy-if(Android,23,3533) == todataurl-quality-75.html quality-75-ref.html
+fuzzy-if(Android,16,4199) == todataurl-quality-92.html quality-92-ref.html
+fuzzy-if(Android,8,2461) == todataurl-quality-100.html quality-100-ref.html
+fuzzy-if(Android,16,4199) == todataurl-quality-undefined.html quality-92-ref.html
+fuzzy-if(Android,16,4199) == todataurl-quality-default.html quality-92-ref.html
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/sample.js
@@ -0,0 +1,2 @@
+var sample =
+  'data:image/png;base64,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';
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-0.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0;
+    </script>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-100.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 1;
+    </script>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-25.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.25;
+    </script>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-50.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.50;
+    </script>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-75.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.75;
+    </script>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-92.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.92;
+    </script>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-default.html
@@ -0,0 +1,7 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/toblob-quality-undefined.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = undefined;
+    </script>
+    <script src='sample.js'></script>
+    <script src='blob.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-0.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0;
+    </script>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-100.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 1;
+    </script>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-25.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.25;
+    </script>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-50.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.50;
+    </script>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-75.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.75;
+    </script>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-92.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = 0.92;
+    </script>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-default.html
@@ -0,0 +1,7 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
new file mode 100644
--- /dev/null
+++ b/content/html/content/reftests/toblob-todataurl/todataurl-quality-undefined.html
@@ -0,0 +1,10 @@
+<!doctype html>
+<html class='reftest-wait'>
+  <body>
+    <script>
+      var quality = undefined;
+    </script>
+    <script src='sample.js'></script>
+    <script src='dataurl.js'></script>
+  </body>
+</html>
--- a/content/html/content/src/nsHTMLCanvasElement.cpp
+++ b/content/html/content/src/nsHTMLCanvasElement.cpp
@@ -489,16 +489,61 @@ nsHTMLCanvasElement::ExtractData(const n
 
   NS_ENSURE_SUCCESS(rv, rv);
 
   imgStream.forget(aStream);
   return NS_OK;
 }
 
 nsresult
+nsHTMLCanvasElement::ParseParams(const nsAString& aType,
+                                 nsIVariant* aEncoderOptions,
+                                 nsAString& aParams,
+                                 bool* usingCustomParseOptions)
+{
+  // Quality parameter is only valid for the image/jpeg MIME type
+  if (aType.EqualsLiteral("image/jpeg")) {
+    uint16_t vartype;
+
+    if (aEncoderOptions &&
+        NS_SUCCEEDED(aEncoderOptions->GetDataType(&vartype)) &&
+        vartype <= nsIDataType::VTYPE_DOUBLE) {
+
+      double quality;
+      // Quality must be between 0.0 and 1.0, inclusive
+      if (NS_SUCCEEDED(aEncoderOptions->GetAsDouble(&quality)) &&
+          quality >= 0.0 && quality <= 1.0) {
+        aParams.AppendLiteral("quality=");
+        aParams.AppendInt(NS_lround(quality * 100.0));
+      }
+    }
+  }
+
+  // If we haven't parsed the params check for proprietary options.
+  // The proprietary option -moz-parse-options will take a image lib encoder
+  // parse options string as is and pass it to the encoder.
+  *usingCustomParseOptions = false;
+  if (aParams.Length() == 0) {
+    NS_NAMED_LITERAL_STRING(mozParseOptions, "-moz-parse-options:");
+    nsAutoString paramString;
+    if (NS_SUCCEEDED(aEncoderOptions->GetAsAString(paramString)) && 
+        StringBeginsWith(paramString, mozParseOptions)) {
+      nsDependentSubstring parseOptions = Substring(paramString, 
+                                                    mozParseOptions.Length(), 
+                                                    paramString.Length() - 
+                                                    mozParseOptions.Length());
+      aParams.Append(parseOptions);
+      *usingCustomParseOptions = true;
+    }
+  }
+
+  return NS_OK;
+}
+
+nsresult
 nsHTMLCanvasElement::ToDataURLImpl(const nsAString& aMimeType,
                                    nsIVariant* aEncoderOptions,
                                    nsAString& aDataURL)
 {
   bool fallbackToPNG = false;
 
   nsIntSize size = GetWidthHeight();
   if (size.height == 0 || size.width == 0) {
@@ -508,51 +553,21 @@ nsHTMLCanvasElement::ToDataURLImpl(const
 
   nsAutoString type;
   nsresult rv = nsContentUtils::ASCIIToLower(aMimeType, type);
   if (NS_FAILED(rv)) {
     return rv;
   }
 
   nsAutoString params;
-
-  // Quality parameter is only valid for the image/jpeg MIME type
-  if (type.EqualsLiteral("image/jpeg")) {
-    uint16_t vartype;
-
-    if (aEncoderOptions &&
-        NS_SUCCEEDED(aEncoderOptions->GetDataType(&vartype)) &&
-        vartype <= nsIDataType::VTYPE_DOUBLE) {
+  bool usingCustomParseOptions;
 
-      double quality;
-      // Quality must be between 0.0 and 1.0, inclusive
-      if (NS_SUCCEEDED(aEncoderOptions->GetAsDouble(&quality)) &&
-          quality >= 0.0 && quality <= 1.0) {
-        params.AppendLiteral("quality=");
-        params.AppendInt(NS_lround(quality * 100.0));
-      }
-    }
-  }
-
-  // If we haven't parsed the params check for proprietary options.
-  // The proprietary option -moz-parse-options will take a image lib encoder
-  // parse options string as is and pass it to the encoder.
-  bool usingCustomParseOptions = false;
-  if (params.Length() == 0) {
-    NS_NAMED_LITERAL_STRING(mozParseOptions, "-moz-parse-options:");
-    nsAutoString paramString;
-    if (NS_SUCCEEDED(aEncoderOptions->GetAsAString(paramString)) && 
-        StringBeginsWith(paramString, mozParseOptions)) {
-      nsDependentSubstring parseOptions = Substring(paramString, 
-                                                    mozParseOptions.Length(), 
-                                                    paramString.Length() - 
-                                                    mozParseOptions.Length());
-      params.Append(parseOptions);
-      usingCustomParseOptions = true;
-    }
+  rv = ParseParams(type, aEncoderOptions, params, &usingCustomParseOptions);
+  if (NS_FAILED(rv)) {
+    return rv;
   }
 
   nsCOMPtr<nsIInputStream> stream;
   rv = ExtractData(type, params, getter_AddRefs(stream), fallbackToPNG);
 
   // If there are unrecognized custom parse options, we should fall back to 
   // the default values for the encoder without any options at all.
   if (rv == NS_ERROR_INVALID_ARG && usingCustomParseOptions) {
@@ -576,17 +591,17 @@ nsHTMLCanvasElement::ToDataURLImpl(const
 
   return Base64EncodeInputStream(stream, aDataURL, (uint32_t)count, aDataURL.Length());
 }
 
 // XXXkhuey the encoding should be off the main thread, but we're lazy.
 NS_IMETHODIMP
 nsHTMLCanvasElement::ToBlob(nsIFileCallback* aCallback,
                             const nsAString& aType,
-                            nsIVariant* aParams,
+                            nsIVariant* aEncoderOptions,
                             uint8_t optional_argc)
 {
   // do a trust check if this is a write-only canvas
   if (mWriteOnly && !nsContentUtils::IsCallerTrustedForRead()) {
     return NS_ERROR_DOM_SECURITY_ERR;
   }
 
   if (!aCallback) {
@@ -596,18 +611,26 @@ nsHTMLCanvasElement::ToBlob(nsIFileCallb
   nsAutoString type;
   nsresult rv = nsContentUtils::ASCIIToLower(aType, type);
   if (NS_FAILED(rv)) {
     return rv;
   }
 
   bool fallbackToPNG = false;
 
+  nsAutoString params;
+  bool usingCustomParseOptions;
+
+  rv = ParseParams(type, aEncoderOptions, params, &usingCustomParseOptions);
+  if (NS_FAILED(rv)) {
+    return rv;
+  }
+
   nsCOMPtr<nsIInputStream> stream;
-  rv = ExtractData(type, EmptyString(), getter_AddRefs(stream), fallbackToPNG);
+  rv = ExtractData(type, params, getter_AddRefs(stream), fallbackToPNG);
   NS_ENSURE_SUCCESS(rv, rv);
 
   if (fallbackToPNG) {
     type.AssignLiteral("image/png");
   }
 
   uint64_t imgSize;
   rv = stream->Available(&imgSize);
--- a/dom/interfaces/html/nsIDOMHTMLCanvasElement.idl
+++ b/dom/interfaces/html/nsIDOMHTMLCanvasElement.idl
@@ -65,16 +65,20 @@ interface nsIDOMHTMLCanvasElement : nsID
                                       [optional] in nsIVariant params);
 
   // Valid calls are
   // mozGetAsFile(name);              -- defaults to image/png
   // mozGetAsFile(name, type);        -- uses given type
   [optional_argc] nsIDOMFile mozGetAsFile(in DOMString name,
                                           [optional] in DOMString type);
 
+  // Valid calls are:
+  //  toBlob();              -- defaults to image/png
+  //  toBlob(type);          -- uses given type
+  //  toBlob(type, params);  -- uses given type, and any valid parameters
   [optional_argc] void toBlob(in nsIFileCallback callback,
                               [optional] in DOMString type,
                               [optional] in nsIVariant params);
 
   // A Mozilla-only extension to get a canvas context backed by double-buffered
   // shared memory. Only privileged callers can call this.
   nsISupports MozGetIPCContext(in DOMString contextId);