articleIEEE Transactions on Image ProcessingApr 24, 2007Closed access

Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images

Tampere University · Tampere University of Applied Sciences

PubMed
Indexed incrossrefpubmed

Abstract

The shape-adaptive discrete cosine transform ISA-DCT) transform can be computed on a support of arbitrary shape, but retains a computational complexity comparable to that of the usual separable block-DCT (B-DCT). Despite the near-optimal decorrelation and energy compaction properties, application of the SA-DCT has been rather limited, targeted nearly exclusively to video compression. In this paper, we present a novel approach to image filtering based on the SA-DCT. We use the SA-DCT in conjunction with the Anisotropic Local Polynomial Approximation-Intersection of Confidence Intervals technique, which defines the shape of the transform's support in a pointwise adaptive manner. The thresholded or attenuated…

Citation impact

734
total citations
FWCI
21.38
Percentile
100%
References
57
Citations per year

Authors

3

Topics & keywords

Keywords
  • Discrete cosine transform
  • Artificial intelligence
  • Computer vision
  • Mathematics
  • Pointwise
  • Ringing artifacts
  • Decorrelation
  • Computer science
No related works found for this paper.