Scholarlink

The 1D linear polynomial is the modern coding techniques, with small deterministic part (2 coefficients only), and large probabilistic part, in this paper a quantization matrix base adopted to quantize the residual efficiently, with achieving better performances compared to traditional 1D polynomial of non-uniform residual quantizer, by saving about 1 k (1000 bytes) and enhancing image quality by 3 dB on average. Also test implies the comparison with the standard JPEG, in which the proposed system converge to the standard performances techniques.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Adaptive Lossy 1-D Polynomial Coding of Quantization Matrix Base

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Ghadah K. AL-Khafaji,
  • Rafaa I. Yahya,
  • Mohammed M. Siddeq

摘要

The 1D linear polynomial is the modern coding techniques, with small deterministic part (2 coefficients only), and large probabilistic part, in this paper a quantization matrix base adopted to quantize the residual efficiently, with achieving better performances compared to traditional 1D polynomial of non-uniform residual quantizer, by saving about 1 k (1000 bytes) and enhancing image quality by 3 dB on average. Also test implies the comparison with the standard JPEG, in which the proposed system converge to the standard performances techniques.