计算机应用与软件2025，Vol.42Issue(10)：279-284,366,7.DOI:10.3969/j.issn.1000-386x.2025.10.038
一种自适应图像编码的量化参数选择算法
A QUANTIZATION PARAMETER SELECTION ALGORITHM FOR SELF-ADAPTIVE IMAGE CODING
摘要
Abstract
As a key part of image coding,quantization can improve compression efficiency and eliminate information redundancy.Considering the optimization trade-off of bit rate and the complexity of algorithm in image coding,based on the DZ+UTQ quantizer,a quantization parameter selection algorithm for self-adaptive image coding is designed.According to the transformed DCT location in the frequency domain,the image was divided into 64 independent sources,and each source was assumed to follow the Laplacian distribution.Under the guidance of the anti water injection algorithm,it allocated equal budget distortion to each source to be quantified and optimized the quantization step size for each source.On this basis,the rounding offset of DZ+UTQ was introduced to adjust the dead zone adaptively,so as to achieve the purpose of optimizing the coding bit rate.Compared with the quantization algorithm with fixed rounding parameters,the results show that the image reconstruction quality of the proposed algorithm is higher,and almost no extra complexity is introduced.关键词
优化量化/JPEG/图像压缩/自适应量化参数Key words
Quantization optimization/JPEG/Image compression/Self-adaptive quantization parameters分类
计算机与自动化引用本文复制引用
冯靖靖,王向文..一种自适应图像编码的量化参数选择算法[J].计算机应用与软件,2025,42(10):279-284,366,7.基金项目
国家自然科学基金项目(61671296). （61671296）
