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Tile-boundary artifact reduction using odd tile size and the low-pass first convention
Jianxin Wei1, Mark R Pickering, Michael R Frater
1School of Electrical Engineering, University College, The University of New South Wales, Australian Defence Force Academy, Canberra ACT 2600, Australia. j.wei@adfa.edu.au
Summary
Boundary artifacts in wavelet image coding are caused by tile size and symmetric extension methods. A new odd tile size method significantly reduces these artifacts, improving image compression quality.
Area of Science:
- Image processing
- Digital signal processing
- Computer vision
Background:
- Wavelet-based lossy image coding commonly exhibits tile-boundary artifacts.
- The underlying causes of these artifacts have remained poorly understood.
- Conventional methods for tile size selection and symmetric extension contribute to artifact formation.
Purpose of the Study:
- To identify the root causes of tile-boundary artifacts in wavelet image decomposition.
- To propose a novel method for mitigating these artifacts.
- To demonstrate the effectiveness of the proposed method in reducing visual distortions.
Main Methods:
- Analysis of conventional tile size selection and symmetric extension techniques.
- Development of a novel image decomposition method utilizing odd tile sizes (2N + 1 samples).
- Implementation of the odd tile length low-pass first (OTLPF) convention.
Main Results:
- Boundary artifacts are an inherent consequence of standard tile size selection and symmetric extension.
- The OTLPF convention with odd tile sizes demonstrably reduces boundary artifacts compared to even tile sizes.
- Images compressed using the OTLPF method exhibit significantly fewer artifacts at equivalent bit rates.
Conclusions:
- The choice of tile size and symmetric extension method critically impacts artifact generation in wavelet image coding.
- Employing odd tile sizes, specifically with the OTLPF convention, offers a viable solution for artifact reduction.
- The OTLPF convention is compatible with existing standards like JPEG 2000 Part 2, enabling practical implementation.