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VPM: fix to coverity issues 10255-10258 (unintended sign extension).

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Review URL: https://webrtc-codereview.appspot.com/532002

git-svn-id: http://webrtc.googlecode.com/svn/trunk@2140 4adac7df-926f-26a2-2b94-8c16560cd09d
This commit is contained in:
marpan@webrtc.org 2012-04-27 15:56:02 +00:00
parent ca08c41701
commit 2d0223286b
2 changed files with 26 additions and 27 deletions
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43
src/modules/video_processing/main/source/content_analysis.cc
View File

@ -64,10 +64,11 @@ VPMContentAnalysis::ComputeContentMetrics(const VideoFrame* inputFrame)
}
// Init if needed (native dimension change)
if (_width != inputFrame->Width() || _height != inputFrame->Height())
if (_width != static_cast<int>(inputFrame->Width()) ||
_height != static_cast<int>(inputFrame->Height()))
{
if (VPM_OK != Initialize((WebRtc_UWord16)inputFrame->Width(),
(WebRtc_UWord16)inputFrame->Height()))
if (VPM_OK != Initialize(static_cast<int>(inputFrame->Width()),
static_cast<int>(inputFrame->Height())))
{
return NULL;
}
@ -114,7 +115,7 @@ VPMContentAnalysis::Release()
}
WebRtc_Word32
VPMContentAnalysis::Initialize(WebRtc_UWord16 width, WebRtc_UWord16 height)
VPMContentAnalysis::Initialize(int width, int height)
{
_width = width;
_height = height;
@ -190,24 +191,23 @@ WebRtc_Word32
VPMContentAnalysis::TemporalDiffMetric_C()
{
// size of original frame
WebRtc_UWord16 sizei = _height;
WebRtc_UWord16 sizej = _width;
int sizei = _height;
int sizej = _width;
WebRtc_UWord32 tempDiffSum = 0;
WebRtc_UWord32 pixelSum = 0;
WebRtc_UWord64 pixelSqSum = 0;
WebRtc_UWord32 numPixels = 0; // counter for # of pixels
WebRtc_UWord32 ssn;
const WebRtc_Word32 width_end = ((_width - 2*_border) & -16) + _border;
const int width_end = ((_width - 2*_border) & -16) + _border;
for(WebRtc_UWord16 i = _border; i < sizei - _border; i += _skipNum)
for(int i = _border; i < sizei - _border; i += _skipNum)
{
for(WebRtc_UWord16 j = _border; j < width_end; j++)
for(int j = _border; j < width_end; j++)
{
numPixels += 1;
ssn = i * sizej + j;
int ssn = i * sizej + j;
WebRtc_UWord8 currPixel = _origFrame[ssn];
WebRtc_UWord8 prevPixel = _prevFrame[ssn];
@ -254,8 +254,8 @@ WebRtc_Word32
VPMContentAnalysis::ComputeSpatialMetrics_C()
{
//size of original frame
const WebRtc_UWord16 sizei = _height;
const WebRtc_UWord16 sizej = _width;
const int sizei = _height;
const int sizej = _width;
// pixel mean square average: used to normalize the spatial metrics
WebRtc_UWord32 pixelMSA = 0;
@ -265,19 +265,18 @@ VPMContentAnalysis::ComputeSpatialMetrics_C()
WebRtc_UWord32 spatialErrHSum = 0;
// make sure work section is a multiple of 16
const WebRtc_UWord32 width_end = ((sizej - 2*_border) & -16) + _border;
const int width_end = ((sizej - 2*_border) & -16) + _border;
for(WebRtc_UWord16 i = _border; i < sizei - _border; i += _skipNum)
for(int i = _border; i < sizei - _border; i += _skipNum)
{
for(WebRtc_UWord16 j = _border; j < width_end; j++)
for(int j = _border; j < width_end; j++)
{
WebRtc_UWord32 ssn1,ssn2,ssn3,ssn4,ssn5;
ssn1= i * sizej + j;
ssn2 = (i + 1) * sizej + j; // bottom
ssn3 = (i - 1) * sizej + j; // top
ssn4 = i * sizej + j + 1; // right
ssn5 = i * sizej + j - 1; // left
int ssn1= i * sizej + j;
int ssn2 = (i + 1) * sizej + j; // bottom
int ssn3 = (i - 1) * sizej + j; // top
int ssn4 = i * sizej + j + 1; // right
int ssn5 = i * sizej + j - 1; // left
WebRtc_UWord16 refPixel1 = _origFrame[ssn1] << 1;
WebRtc_UWord16 refPixel2 = _origFrame[ssn1] << 2;

10
src/modules/video_processing/main/source/content_analysis.h
View File

@ -29,7 +29,7 @@ public:
// extractContentFeature
// Inputs: width, height
// Return value: 0 if OK, negative value upon error
WebRtc_Word32 Initialize(WebRtc_UWord16 width, WebRtc_UWord16 height);
WebRtc_Word32 Initialize(int width, int height);
// Extract content Feature - main function of ContentAnalysis
// Input: new frame
@ -67,10 +67,10 @@ private:
const WebRtc_UWord8* _origFrame;
WebRtc_UWord8* _prevFrame;
WebRtc_UWord16 _width;
WebRtc_UWord16 _height;
WebRtc_UWord32 _skipNum;
WebRtc_Word32 _border;
int _width;
int _height;
int _skipNum;
int _border;
// Content Metrics:
// stores the local average of the metrics