自适应聚类的图像块分级DCT混合数模无线传输方法

doi:10.11959/j.issn.1000-436x.2024015

通信学报 ›› 2024, Vol. 45 ›› Issue (1): 152-166.doi: 10.11959/j.issn.1000-436x.2024015

• 学术论文 • 上一篇

自适应聚类的图像块分级DCT混合数模无线传输方法

唐述, 杨鹏, 谢显中, 周广义, 李佳庆, 赵瑜

重庆邮电大学计算机科学与技术学院，重庆 400065

修回日期:2023-07-03 出版日期:2024-01-01 发布日期:2024-01-01
作者简介:唐述（1981- ），男，重庆人，博士，重庆邮电大学副教授、博士生导师，主要研究方向为信号处理、图像无线传输、计算机视觉等
杨鹏（1997- ），男，重庆人，重庆邮电大学硕士生，主要研究方向为信号处理、图像无线传输
谢显中（1965- ），男，重庆人，博士，重庆邮电大学教授、博士生导师，主要研究方向为感知无线电、协作通信、MIMO预编码
周广义（1997- ），男，河南南阳人，重庆邮电大学硕士生，主要研究方向为HEVC帧内编码
李佳庆（1999- ），男，重庆人，重庆邮电大学硕士生，主要研究方向为视频压缩
赵瑜（1997- ），男，四川广元人，重庆邮电大学硕士生，主要研究方向为视频压缩
基金资助:
国家自然科学基金资助项目(61601070);重庆市自然科学基金资助项目(CSTB2023NSCQ-MSX0680);重庆市教育委员会科学技术研究重大项目基金资助项目(KJZD-M202300101)

Adaptive-clustered image-block hierarchical DCT hybrid digital-analog wireless transmission method

Shu TANG, Peng YANG, Xianzhong XIE, Guangyi ZHOU, Jiaqing LI, Yu ZHAO

College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Revised:2023-07-03 Online:2024-01-01 Published:2024-01-01
Supported by:
The National Natural Science Foundation of China(61601070);Chongqing Natural Science Foundation(CSTB2023NSCQ-MSX0680);The Major Project of Science and Technology Research of Chongqing Education Commission(KJZD-M202300101)

摘要/Abstract

摘要：

提出了一种新颖的混合数模无线传输方法来实现高质量的图像传输。首先，从原始图像中减去先下采样后上采样的图像来得到残差层图像。其次，提出了一种自适应聚类的块分级离散余弦变换算法来有效去除残差层图像像素之间的相关性。最后，提出了一种基于图像块等级的不等功率分配策略来进一步提升接收端的图像质量。大量的实验结果表明，所提方法在定性评估和定量度量两方面都明显优于现有较成功的混合数模图像无线传输方法。

关键词: 混合数模传输, 图像无线传输, 伪模拟传输方法, 离散余弦变换, 不等功率分配

Abstract:

In order to achieve high quality image transmission, a novel hybrid digital-analog (HDA) wireless transmission method was proposed.Firstly, the image residual layer was constructed by subtracting the downsampled and upsampled images from the original image respectively.Secondly, an adaptive-clustered block-level discrete cosine transform (DCT) algorithm was proposed to efficiently remove the correlation between image pixels in the residual layer.Finally, an image block level-based unequal power allocation strategy for further boosting the quality of received images was proposed.Extensive experiments results demonstrate that the proposed method is significantly superior to existing successful hybrid digital analog image wireless transmission methods in both qualitative evaluation and quantitative measurement.

Key words: hybrid digital-analog transmission, image wireless transmission, SoftCast, DCT, unequal power allocation

中图分类号:

TN919.8

唐述, 杨鹏, 谢显中, 周广义, 李佳庆, 赵瑜. 自适应聚类的图像块分级DCT混合数模无线传输方法[J]. 通信学报, 2024, 45(1): 152-166.

Shu TANG, Peng YANG, Xianzhong XIE, Guangyi ZHOU, Jiaqing LI, Yu ZHAO. Adaptive-clustered image-block hierarchical DCT hybrid digital-analog wireless transmission method[J]. Journal on Communications, 2024, 45(1): 152-166.

图/表 12

图1

图2

图3

图4

图5

表1

图6

图7

表2

不同信道噪声环境与带宽条件下，100幅自然图像的平均PSNR和平均SSIM"

B_w	方法	SNR=0		SNR=5 dB		SNR=10 dB		SNR=15 dB		SNR=20 dB		SNR=25 dB		SNR=30 dB
B_w	方法	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM
1.00	本文方法	29.13	0.769 9	32.92	0.879 4	37.38	0.948 2	42.05	0.980 4	47.03	0.993 0	51.95	0.997 2	56.93	0.998 7
	BlockSoftCast	27.04	0.716 2	30.75	0.837 6	35.14	0.9242	39.90	0.970 4	44.80	0.989 4	49.78	0.996 3	54.76	0.998 7
	LayerdSoftCast	28.05	0.709 9	31.71	0.833 6	36.08	0.922 5	40.82	0.9696	45.73	0.989 0	50.69	0.995 8	55.69	0.998 2
	SoftCast	24.87	0.694 3	28.84	0.817 8	33.25	0.910 4	38.05	0.963 6	42.97	0.9868	47.88	0.995 2	52.90	0.998 2
	SoftCast-IDCT	29.07	0.769 8	32.88	0.879 3	37.01	0.947 8	41.77	0.980 1	46.67	0.992 0	51.78	0.997 1	56.59	0.998 3
	EV-SoftCast	28.87	0.769 7	32.64	0.879 0	37.05	0.947 8	41.51	0.978 1	46.45	0.991 8	51.59	0.997 0	56.40	0.998 2
0.75	本文方法	29.06	0.766 7	32.70	0.875 1	36.65	0.936 1	40.28	0.960 1	43.02	0.977 8	44.73	0.981 5	45.52	0.982 5
	BlockSoftCast	26.98	0.710 2	30.54	0.827 2	34.37	0.909 0	37.80	0.951 8	40.24	0.969 3	41.59	0.975 5	42.18	0.977 5
	LayerdSoftCast	27.98	0.706 9	31.40	0.826 3	35.03	0.909 5	38.12	0.952 2	40.18	0.969 1	41.25	0.974 9	41.69	0.976 9
	SoftCast	24.79	0.689 6	28.63	0.808 8	32.67	0.897 1	36.30	0.945 7	39.04	0.966 3	40.66	0.973 7	41.45	0.976 1
	SoftCast-IDCT	28.66	0.766 2	32.31	0.874 2	36.35	0.935 8	39.98	0.959 7	42.74	0.977 6	44.49	0.981 1	45.14	0.982 0
	EV-SoftCast	28.59	0.766 4	32.19	0.874 0	36.18	0.935 5	39.76	0.959 4	42.59	0.977 5	44.20	0.979 8	44.96	0.981 8
0.50	本文方法	28.93	0.754 5	32.25	0.854 1	35.33	0.911 6	37.59	0.937 4	38.82	0.946 5	39.33	0.949 6	39.52	0.950 7
	BlockSoftCast	26.84	0.697 9	29.97	0.806 6	32.84	0.880 8	34.77	0.918 4	35.71	0.933 0	36.08	0.938 2	36.20	0.939 9
	LayerdSoftCast	27.79	0.698 1	30.80	0.812 2	33.46	0.887 7	35.18	0.924 6	35.99	0.938 9	36.30	0.943 6	36.41	0.945 2
	SoftCast	24.70	0.6824	28.34	0.795 1	31.69	0.875 1	34.13	0.918 0	35.52	0.935 3	36.12	0.941 5	36.33	0.943 5
	SoftCast-IDCT	28.79	0.754 3	32.01	0.853 9	35.11	0.911 3	37.27	0.937 0	38.53	0.946 1	39.01	0.949 2	39.19	0.9504
	EV-SoftCast	28.55	0.754 1	31.77	0.853 7	35.05	0.911 3	36.96	0.936 3	38.21	0.945 7	38.78	0.949 0	39.01	0.950 3
0.25	本文方法	28.47	0.724 2	30.90	0.806 8	32.56	0.851 1	33.37	0.869 8	33.67	0.876 1	33.76	0.878 1	33.82	0.878 8
	BlockSoftCast	26.30	0.668 7	28.51	0.760 8	29.93	0.819 4	30.58	0.846 4	30.82	0.856 8	30.90	0.860 3	30.93	0.861 4
	LayerdSoftCast	27.30	0.680 8	29.38	0.777 4	30.71	0.837 0	31.31	0.863 8	31.53	0.874 0	31.60	0.877 2	31.63	0.878 3
	SoftCast	24.45	0.6639	27.48	0.762 8	29.71	0.827 8	30.87	0.859 0	31.35	0.870 7	31.53	0.874 7	31.58	0.876 0
	SoftCast-IDCT	28.22	0.724 0	30.56	0.806 4	32.23	0.850 8	33.09	0.869 7	33.33	0.875 8	33.42	0.877 8	33.49	0.878 4
	EV-SoftCast	28.10	0.723 9	30.39	0.806 3	32.10	0.850 7	32.87	0.869 5	33.09	0.875 6	33.19	0.877 6	33.29	0.878 3

表2

表3

图8

表4

参考文献 44

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K	复杂度
1	O (t)
2	O (t+2nj)
3	O (t+3nj)
4	O (t+4nj)
5	O (t+5nj)
6	O (t+6nj)
7	O (t+7nj)
8	O (t+8nj)
9	O (t+9nj)

方法			平均PSNR
方法	SNR=5 dB	SNR=10 dB	SNR=15 dB	SNR=20 dB	SNR=25 dB
本文方法	33.77	37.79	41.49	44.12	45.47
ComPaTS	32.22	36.68	40.35	42.57	43.95
BlockSoftCast	32.91	36.68	39.92	41.95	42.89
LayerdSoftCast	32.25	34.88	36.57	37.33	37.61
SoftCast	29.79	33.20	35.72	37.04	37.58
SoftCast-IDCT	33.59	37.60	41.22	44.01	45.24
EV-SoftCast	33.31	37.41	41.09	43.89	45.09

方法	计算时间/s
方法	第1次	第2次	第3次	第4次	第5次	平均
本文方法	0.377	0.447	0.379	0.378	0.388	0.394
BlockSoftCast	0.520	0.513	0.530	0.537	0.515	0.523
LayerdSoftCast	0.227	0.225	0.222	0.228	0.229	0.226
SoftCast	0.198	0.183	0.176	0.177	0.176	0.182
SoftCast-IDCT	0.490	0.501	0.515	0.506	0.485	0.4994
EV-SoftCast	0.202	0.209	0.201	0.198	0.211	0.2042

自适应聚类的图像块分级DCT混合数模无线传输方法

Adaptive-clustered image-block hierarchical DCT hybrid digital-analog wireless transmission method

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图/表 12

参考文献 44

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