A Novel Color Image Compression Algorithm Using the Human Visual Contrast Sensitivity Characteristics

• 作者: Guizhong LIU Juncai YAO
• 来源期刊: 光子传感器:英文版
• 学科: 工学
• 关键词: 图像压缩算法 彩色图像 敏感特性 人眼视觉 图像压缩比 人类视觉系统 离散余弦变换 量化矩阵
• 年，卷（期）: 2017,（1）
• 页码范围: 72-81
• 页数: 10页
• 分类号: TP391.41
• 语种: 中文

摘要

In order to achieve higher image compression ratio and improve visual perception of the decompressed image, a novel color image compression scheme based on the contrast sensitivity characteristics of the human visual system (HVS) is proposed. In the proposed scheme, firstly the image is converted into the YCrCb color space and divided into sub-blocks. Afterwards, the discrete cosine transform is carried out for each sub-block, and three quantization matrices are built to quantize the frequency spectrum coefficients of the images by combining the contrast sensitivity characteristics of HVS. The Huffman algorithm is used to encode the quantized data. The inverse process involves decompression and matching to reconstruct the decompressed color image. And simulations are carried out for two color images. The results show that the average structural similarity index measurement (SSIM) and peak signal to noise ratio (PSNR) under the approximate compression ratio could be increased by 2.78% and 5.48%, respectively, compared with the joint photographic experts group (JPEG) compression. The results indicate that the proposed compression algorithm in the text is feasible and effective to achieve higher compression ratio under ensuring the encoding and image quality, which can fully meet the needs of storage and transmission of color images in daily life.