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Image compression and denoising using multiresolution region-based image description scheme

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Abstract

Lossy image compression removes redundant information which considerably reduces the size of files needed for storing images. Lossy compression at different resolutions can be used to remove redundant information at each resolution level. Wavelet transform is one of the most successful multiresolution tools that has been widely applied in image compression. However, wavelet transform suffers from high computational complexity. In this paper, we propose a novel multiresolution region-based image description scheme that can be used to transform any region-based image descriptor into a multiresolution structure. Our proposed multiresolution scheme uses the original image information independently from other preprocessing techniques such as filtering, region segmentation, or any prior assumptions that might result in an additional computational overhead. The tree structure of our multiresolution scheme is well suited for parallel processing, which further improves its computational efficiency. Based on this multiresolution scheme, we propose a novel image compression and denoising scheme that can compress and denoise images simultaneously. Our image compression and denoising scheme achieves multiresolution analysis and avoids blocking artifacts; it has high computational accuracy and efficiency as well as strong flexibility.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. College of Arts and Sciences, Troy University, Troy, AL, USA

    Yanjun Zhao

  2. College of Arts and Sciences, Georgia State University, Atlanta, GA, USA

    Saeid Belkasim

  3. College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    Guillaume Aubry

Authors
  1. Yanjun Zhao
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  2. Saeid Belkasim
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  3. Guillaume Aubry
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Correspondence to Yanjun Zhao.

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Zhao, Y., Belkasim, S. & Aubry, G. Image compression and denoising using multiresolution region-based image description scheme. J Supercomput 79, 4243–4265 (2023). https://doi.org/10.1007/s11227-022-04806-8

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