Now showing items 1-2 of 2

    • A survey of CPU-parallel image compression algorithms 

      Li, B.; Ma, J. (БНТУ, 2025)
      This survey reviews classical image compression methods for CPU environments, excluding deep learning techniques. It covers pixel-domain predictive coding (DPCM, JPEG-LS), frequency-domain transform coding (JPEG with DCT, JPEG2000 with wavelets), and modern image formats (WebP, HEIF/AVIF, JPEG XL). The focus is on their operating principles, computational complexity, artifacts, ...
      2026-01-23
    • Parallel optimization of a DCT image compression algorithm for resource-constrained platforms 

      Li, B.; Ma, J. (БНТУ, 2025)
      For resource-constrained platforms, this paper presents an 8 × 8 blockbased parallel implementation of the DCT/IDCT. The method decomposes the 2D transform into two 1D transforms, uses a slice-safe preallocated 3D buffer together with block-level parfor parallelism, and avoids contention and copying overhead from temporary arrays. Using a batch of 10 images as an example, the ...
      2026-01-23