Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
Tampere University · Tampere University of Applied Sciences
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
- FWCI
- 21.38
- Percentile
- 100%
- References
- 57
Authors
3Topics & keywords
- Discrete cosine transform
- Artificial intelligence
- Computer vision
- Mathematics
- Pointwise
- Ringing artifacts
- Decorrelation
- Computer science