20 February 2007 New generation of image editing algorithms
Author Affiliations +
Proceedings Volume 6502, Digital Photography III; 65020P (2007); doi: 10.1117/12.704293
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Any color image editing software has Brightness, Contrast, and Saturation controls. However, because it usually imitates corresponding adjusting knobs of a Color TV, and thus, corresponds to mid 20th century scope of engineering, adjusting one of the parameters affects all three parameters, and modification of Brightness or Contrast does not preserve chromatic coordinates. A person should be very experienced with the sequential control operations in order to get a result equivalent to a simple expocorrection. A set of new generation algorithms described in this paper is free from the above-mentioned defects and includes: Brightness and Contrast editing which does not affect chromatic coordinates; Local Contrast editing that causes only minor modification of Global Dynamic Range; Global Dynamic Range modification which affects neither chromatic coordinates, nor Local Dynamic Range; and Saturation modification which affects neither Brightness, nor Hue. The efficiency of color image editing software depends on the choice of a basic CCS (Color Coordinate System). A CCS that is effective for one editing procedure might be less effective for another. This paper presents a set of correlated CCSs with a specification of their preferable area of application.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey Bezryadin, "New generation of image editing algorithms", Proc. SPIE 6502, Digital Photography III, 65020P (20 February 2007); doi: 10.1117/12.704293; https://doi.org/10.1117/12.704293

Image processing


High dynamic range imaging

Control systems

Algorithm development


RGB color model


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