#include "ltwrappr.h"

virtual L_INT LBitmap::AddNoise(uRange=500, uChannel=CHANNEL_MASTER, uFlags = 0)

Adds random pixels to a bitmap, letting you specify the percentage of coverage and the color plane.


L_UINT uRange

Percentage of coverage, expressed in tenths of a percent. Valid values are 0 to 1000.

L_UINT uChannel

Color plane constant. This plane will be affected by the noise. Possible values are:

Value Meaning
CHANNEL_MASTER * [0] All channels.
CHANNEL_RED [1] Red channel only.
CHANNEL_GREEN [2] Green channel only.
CHANNEL_BLUE [3] Blue channel only.

L_UINT32 uFlags

Reserved for future use. Must be 0.


Value Meaning
SUCCESS The function was successful.
< 1 An error occurred. Refer to Return Codes.


Use this function in order to add random noise to a bitmap.

Use the LBitmap::Perlin function to use a pseudo-random number generator in order to create a Perlin noise, and then procedurally transform that noise into a texture. Depending on the flags that are set, the texture can be saved as a bitmap by itself, or the texture can be combined with another bitmap. For more information, refer to Using the LBitmap::Perlin Function.

Use the LBitmap::Clouds function in order to use Perlin equations to generate pseudo-random noise, and then procedurally transform that noise into a cloud-like texture. The LBitmap::Clouds function applies equations to the Perlin noise that are different than those used by the LBitmap::Perlin function.

To update a status bar or detect a user interrupt during execution of this function, refer to LBase::EnableStatusCallback.

This function supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.

This function does not support signed data images. It returns the error code ERROR_SIGNED_DATA_NOT_SUPPORTED if a signed data image is passed to this function.

This function does not support 32-bit grayscale images. It returns the error code ERROR_GRAY32_UNSUPPORTED if a 32-bit grayscale image is passed to this function.

Calculating Master Channel Values

In order to speed up widely used image processing filters in LEADTOOLS, the grayscale value (master channel) of a colored image is calculated using the following formulas:

#define CalcGrayValue(r, g, b) ((L_UCHAR)(((L_UCHAR) (((2 * (L_UINT) (r)) + (5 * (L_UINT) (g)) + (L_UINT) (b) + 4) / 8)))) 
#define CalcGrayValue16(r, g, b) ((L_UINT16) (((2 * (L_UINT32) (r)) + (5 * (L_UINT32) (g)) + (L_UINT32) (b) + 4) / 8)) 
#define CalcGrayValue32(r, g, b) ((L_UINT32) (((2 * (L_UINT32) (r)) + (5 * (L_UINT32) (g)) + (L_UINT32) (b) + 4) / 8)) 

Required DLLs and Libraries


Win32, x64.

See Also




L_INT LBitmap__AddNoiseExample() 
   L_INT nRet; 
   LBitmap m_Bitmap; 
   nRet =m_Bitmap.Load(MAKE_IMAGE_PATH(TEXT("sample2.cmp")), 0,ORDER_BGR); 
   if(nRet !=SUCCESS) 
      return nRet; 
   nRet =m_Bitmap.AddNoise(); 
   if(nRet !=SUCCESS) 
      return nRet; 
   return SUCCESS; 
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LEADTOOLS Raster Imaging C++ Class Library Help