IEEE
International Conference on Image Processing, Oct. 2000
Blind Measurement of
Blocking Artifacts in Images
Zhou
Wang, Alan C. Bovik,
and Brian L. Evans
Laboratory for Image and Video Engineering (LIVE),
Department of Electrical and Computer Engineering, The University of Texas at
Austin, Austin, TX 78712-1084
Abstract: The objective measurement of blocking artifacts
plays an important role in the design, optimization, and assessment of image and
video coding systems. We propose a new approach that can blindly measure
blocking artifacts in images without reference to the originals. The key idea
is to model the blocky image as a non-blocky image interfered with a pure
blocky signal. The task of the blocking effect measurement algorithm is then to
detect and evaluate the power of the blocky signal. The proposed approach has
the flexibility to integrate human visual system features such as the luminance
and the texture masking effects.