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Description: 使用软件方法从数字视频流（PAL）中提取有效视频数据和色同步的程序-Methods of using software from the digital video stream (PAL) to extract the effective video data and color synchronization procedures
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Size: 1024 |
Author: 肖波 |
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Description: Convert a color image between color representations.
B = COLORSPACE(S,A) converts the color representation of image A
where S is a string specifying the conversion. S tells the
source and destination color spaces, S = dest<-src , or
alternatively, S = src->dest . Supported color spaces are
RGB R G B Red Green Blue (ITU-R BT.709 gamma-corrected)
YPbPr Luma (ITU-R BT.601) + Chroma
YCbCr / YCC Luma + Chroma ("digitized" version of Y PbPr)
YUV NTSC PAL Y UV Luma + Chroma
YIQ NTSC Y IQ Luma + Chroma
YDbDr SECAM Y DbDr Luma + Chroma
JPEGYCbCr JPEG-Y CbCr Luma + Chroma
HSV / HSB Hue Saturation Value/Brightness
HSL / HLS / HSI Hue Saturation Luminance/Intensity
XYZ CIE XYZ
Lab CIE L*a*b* (CIELAB)
Luv CIE L*u*v* (CIELUV)
Lch CIE L*ch (CIELCH)-Convert a color image between color representations. B = COLORSPACE (S, A) converts the color representation of image A where S is a string specifying the conversion. S tells the source and destination color spaces, S = ' dest <-src' , or alternatively, S = ' src-> dest' . Supported color spaces are ' RGB' R' G' B ' Red Green Blue (ITU-R BT.709 gamma-corrected)' YPbPr ' Luma (ITU-R BT.601 )+ Chroma ' YCbCr' /' YCC' Luma+ Chroma ( " digitized" version of Y' PbPr) ' YUV' NTSC PAL Y' UV Luma+ Chroma ' YIQ' NTSC Y' IQ Luma+ Chroma ' YDbDr' SECAM Y ' DbDr Luma+ Chroma ' JPEGYCbCr' JPEG-Y' CbCr Luma+ Chroma ' HSV' /' HSB' Hue Saturation Value/Brightness' HSL ' /' HLS ' /' HSI ' Hue Saturation Luminance/Intensity' XYZ ' CIE XYZ' Lab ' CIE L* a* b* (CIELAB)' Luv ' CIE L* u* v* (CIELUV)' Lch ' CIE L* ch (CIE
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Size: 4096 |
Author: 张灯结 |
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Description: Our toolbox currently contains implementations of robust methods for
location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-
LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), princi-
pal component regression (RPCR), partial least squares (RSIMPLS) and classi¯ cation
(RDA). Only a few of these methods will be highlighted in this paper. The toolbox
also provides many graphical tools to detect and classify the outliers. The use of these
features will be explained and demonstrated through the analysis of some real data
sets.
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Size: 294912 |
Author: 王一 |
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Description: PAL/NTSC/SECAM video decoder
with adaptive PAL/NTSC comb
filter, VBI-data slicer and high
performance scaler
Platform: |
Size: 515072 |
Author: fxs |
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Description: matlab is good prgm for simulations and coding.do try this one
Platform: |
Size: 4096 |
Author: pallu |
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