L_INT LBitmapBase::SizeInterpolate(nWidth, nHeight, uFlag = SIZE_NORMAL)
Resizes a bitmap to a new width and height.
Value that represents the new width, in pixels.
Value that represents the new height, in pixels.
Flag that determines the resizing behavior. Possible values are:
|SIZE_NORMAL||[0x0000] Resize normally. This is the fastest, but can cause aliasing.|
|SIZE_RESAMPLE||[0x0002] Use Linear interpolation and averaging to produce a higher-quality image.|
|SIZE_BICUBIC||[0x0004] Use Bicubic interpolation and averaging to produce a high-quality image. This is slower than SIZE_BILINEAR.|
|SIZE_TRIANGLE||[0x0005] Use Triangular-peaked weighting average to produce a high-quality image.|
|SIZE_HERMITE||[0x0006] Use Hermite interpolation to produce a good quality image better than Bresenham interpolation but not as good as Bilinear interpolation. (using a cubic spline as is done when using Hermite interpolation is slower than when using Bilinear interpolation).|
|SIZE_BELL||[0x0007] Use bell interpolation to produce a high-quality image. This filter blurs the image at the same time it resizes. If you want performance similar to bicubic filtering but your source image is noisy, use this one.|
|SIZE_QUADRATIC_B_SPLINE||[0x0008] Use Quadratic B-Spline interpolation to produce a smooth quality image but one that is not as good as one produced using Cubic B-Spline interpolation. This is faster than SIZE_BICUBIC but slower than SIZE_CUBIC_B_SPLINE.|
|SIZE_CUBIC_B_SPLINE||[0x0009] Use Cubic B-Spline interpolation to produce a very smooth quality image (very blurry). This is one step further than the 'Bell Filter'. This type of interpolation is a bit slower and generates an image with more blur but it has less noise. This method is faster than SIZE_BICUBIC.|
|SIZE_BOXFILTER||[0x00A] Use Box filter for results equivalent to Nearest Neighbor on Upsampling, and average pixels on Downsampling. This gives best result for images with single pixel lines.|
|SIZE_LANCZOS||[0x000B] Use Lanczos interpolation using Sinc (sinx/x) to produce a high-quality image. Provides the best quality but it is rather slow.|
|SIZE_MICHELL||[0x000C] Use Michel interpolation to produce a smooth quality image although not as smooth as one produced using Quadratic B-Spline interpolation. It is slower than SIZE_BICUBIC.|
|SIZE_COSINE||[0x000D] Use a Cosine function in the interpolation to produce a good quality image.|
|SIZE_CATROM||[0x000E] Use CatmullRom interpolation to produce a high-quality image. It is slower than SIZE_BICUBIC but faster than SIZE_LANCZOS.|
|SIZE_QUDRATIC||[0x000F] Use QUADRATIC interpolation to produce a high-quality image although it is not as good quality as one produced using Bilinear interpolation. It is slower than SIZE_BICUBIC.|
|SIZE_CUBIC_CONVOLUTION||[0x0010] Use Cubic Convolution interpolation to produce a high-quality image with enhanced image edges. It is slower than SIZE_BICUBIC.|
|SIZE_BILINEAR||[0x0011] Use Linear interpolation and averaging to produce a high-quality image. It is fast but slower than SIZE_NORMAL and SIZE_BRESENHAM|
|SIZE_BRESENHAM||[0x0012] Use Bresenham interpolation and averaging to produce a good quality image (better than SIZE_NORMAL). This is slower than SIZE_NORMAL but faster than SIZE_BILINEAR.|
|SUCCESS||The function was successful.|
|< 1||An error occurred. Refer to Return Codes.|
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.
To see a visual comparison among these methods, showing speed and result of 500% enlargement, click here.
return nRet;/*change the size of the bitmap object to 100x100 */
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