A fast algorithm for YCbCr to perception color model conversion based on fixed-point DSP

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Real-time video processing heavily relies on the color space conversion. Due to the real-time requirement, the traditional conversion methods often suffer from the moderate conversion speed, inaccuracy and low video quality. In order to meet the efficiency requirement of color space conversion in real-time video systems, we present a fast algorithm for color space YCbCr to perception color model conversion, which is based on the simplified shift and look-up table (SSLUT). The approach can be divided into two steps. At first, the simplified fixed-point shift method is used to convert YCbCr to RGB. Then look-up table assists with the YCbCr to perception color model conversion, such as HSV, HSI and HSL. To validate the proposed fast algorithm, the conversion speed and accuracy are compared with the traditional methods based on Code Composer Studio (CCS) test platform. Moreover, we make the video quality evaluation by using the peak signal-to-ratio (PSNR) and the structural similarity (SSIM). Experimental results illustrate the real-time, robustness and accuracy of the fast algorithm.

Original languageEnglish
Pages (from-to)6041-6067
Number of pages27
JournalMultimedia Tools and Applications
Volume74
Issue number15
DOIs
StatePublished - Mar 16 2015
Externally publishedYes

Funding

The work was supported by the National Natural Science Foundation of China (NSFC) (No. 61073080, 61020106001, 61202364, 61202150), Natural Science Foundation of Shandong Province (ZR2010FQ025).

Keywords

  • Color space conversion
  • Perception color model
  • Real-time video system
  • Video quality assessment

Fingerprint

Dive into the research topics of 'A fast algorithm for YCbCr to perception color model conversion based on fixed-point DSP'. Together they form a unique fingerprint.

Cite this