@article{3963,
  author = {Teodora G. Sechkova, Ivo R. Draganov},
  title = {Use of Wavelet Spectrum for Digital Image Compression},
  journal = {Journal of Electronic Systems},
  year = {2024},
  volume = {14},
  number = {1},
  doi = {https://doi.org/10.6025/jes/2024/14/1/1-9},
  url = {https://www.dline.info/jes/fulltext/v14n1/jesv14n1_1.pdf},
  abstract = {In this paper, we present a new method for digital image compression. This method involves dividing the wavelet spectrum into several sub-bands after a certain level of regular or irregular decay. Each sub-band is then decomposed using an inverse pyramid algorithm and a linear orthogonal transform like DCT. Depending on whether you want lossless compression or lossy compression, all or only some spectral coefficients of the inverse pyramid are retained. Entropy coding is then applied. Higher compression ratios are achieved at higher image quality levels than some popular algorithms from the practice.},
}