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  color image
Steganographic algorithm for hiding a full-color image within another full-color image is described.
      
The first algorithm detects outliers with the help of spatial relations between the components of a color image.
      
The second algorithm transforms a color image to the YCbCr color space that perfectly separates the intensity and color information.
      
In this paper, we present an algorithm to combine edge information from stereo-derived disparity maps with edges from the original intensity/color image to improve the contour detection in images of natural scenes.
      
An adaptive color image filter (ACIF) is proposed in this note.
      
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  color image
Steganographic algorithm for hiding a full-color image within another full-color image is described.
      
The first algorithm detects outliers with the help of spatial relations between the components of a color image.
      
The second algorithm transforms a color image to the YCbCr color space that perfectly separates the intensity and color information.
      
In this paper, we present an algorithm to combine edge information from stereo-derived disparity maps with edges from the original intensity/color image to improve the contour detection in images of natural scenes.
      
An adaptive color image filter (ACIF) is proposed in this note.
      
更多          
  color images
Methods for segmentation of multi-type color images of microobjects and discrimination of their external contours and those of the internal components of their elements were proposed and analyzed.
      
Algorithms for impulse noise removal from corrupted color images
      
Two effective algorithms for the removal of impulse noise from color images are proposed.
      
Simulation results in test color images show a superior performance of the proposed algorithms compared with the conventional vector median filter.
      
A solution to the problem of analyzing the rendition quality of fine details of color images on the basis of objective criteria is proposed.
      
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  color images
Methods for segmentation of multi-type color images of microobjects and discrimination of their external contours and those of the internal components of their elements were proposed and analyzed.
      
Algorithms for impulse noise removal from corrupted color images
      
Two effective algorithms for the removal of impulse noise from color images are proposed.
      
Simulation results in test color images show a superior performance of the proposed algorithms compared with the conventional vector median filter.
      
A solution to the problem of analyzing the rendition quality of fine details of color images on the basis of objective criteria is proposed.
      
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