UAV Video Transmission Method Based on Video Stream Slicing and Coding

Liangliang Li; Zhigang Lü; Jin Guo; Xiaoyan Li; Yongxia Yang

doi:10.3788/LOP57.241021

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 24 >Page 241021 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 24, 241021 (2020)

UAV Video Transmission Method Based on Video Stream Slicing and Coding

Liangliang Li, Zhigang Lü^*, Jin Guo, Xiaoyan Li, and Yongxia Yang

Author Affiliations

School of Electronics and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi 710021, China

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DOI: 10.3788/LOP57.241021 Cite this Article Set citation alerts

Liangliang Li, Zhigang Lü, Jin Guo, Xiaoyan Li, Yongxia Yang. UAV Video Transmission Method Based on Video Stream Slicing and Coding[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241021 Copy Citation Text

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Fig. 1. Overall implementation diagram of system

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Fig. 2. Image transmission model

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Fig. 3. Flowchart of encoding and decoding

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Fig. 4. Wavelet decomposition detail diagram. (a) Detailed information; (b) horizontal detail; (c) vertical detail; (d) diagonal detail

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Fig. 5. Diagram of third-order wavelet transform

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Fig. 6. Flowchart of three-level wavelet decomposition

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Fig. 7. Original image

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Fig. 8. Output image obtained by three-level wavelet transformation

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Fig. 9. Three-component decomposition quantization output images at acquisition end. (a) Y; (b) Cr; (c) Cb

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Fig. 10. Three-component restoration output images at receiving end. (a) Y; (b) Cr; (c) Cb

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Fig. 11. Images. (a) Collected image; (b) received image

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Fig. 12. Trend of receiving time delay

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Fig. 13. Trend of receiving frame rate

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Image	$x$	$y$	SSIM	RMSE
FDWT&IDWT	FDWT1	IDWT1	0.986780
	FDWT2	IDWT2	0.986678
	FDWT3	IDWT3	0.987841
Q&IQ	Q_Y	IQ_Y	0.987745
	Q_Cr	IQ_Cr	0.989623
	Q_Cb	IQ_Cb	0.980875
Image comparison	Srcimage	Recimage	0.987928	1.633673

Table 1. Comparison of indicators in transmission process

$x$	$y$	SSIM	RMSE
Srcimage 1	Recimage 1	0.985544	1.615866
Srcimage 2	Recimage 2	0.985799	1.634215
Srcimage 3	Recimage 3	0.985878	1.587972
Srcimage 4	Recimage 4	0.985326	1.613286
Srcimage 5	Recimage 5	0.984940	1.664491
Srcimage 6	Recimage 6	0.985986	1.572247
Srcimage 7	Recimage 7	0.984756	1.613159
Srcimage 8	Recimage 8	0.975412	1.632571
Srcimage 9	Recimage 9	0.984568	1.571135
Srcimage 10	Recimage 10	0.985979	1.564518

Table 2. Quantitative description of 640×480 image quality

$x$	$y$	SSIM	RMSE	$x$	$y$	SSIM	RMSE
Srcimage 1	Recimage 1	0.977228	2.680730	Srcimage 6	Recimage 6	0.975578	2.678446
Srcimage 2	Recimage 2	0.975794	2.689732	Srcimage 7	Recimage 7	0.974850	2.674558
Srcimage 3	Recimage 3	0.975895	2.687534	Srcimage 8	Recimage 8	0.978012	2.685717
Srcimage 4	Recimage 4	0.978647	2.683296	Srcimage 9	Recimage 9	0.984051	2.678637
Srcimage 5	Recimage 5	0.986541	2.667825	Srcimage 10	Recimage 10	0.981211	2.684916

Table 3. Quantitative description of 1280×720 image quality

Algorithm	Image resolution	SSIM	RMSE	Total receivingtime/ms	Speed/(frame·s^-1)
JPEG(P=80, R=0)	640×480	0.935073	4.359058	25	45
JPEG(P=80, R=0)	1280×720
JPEG(P=60, R=10)	640×480	0.915425	5.187605	29	43
JPEG(P=60, R=10)	1280×720	0.907840	5.147938	45	38
JPEG2000	640×480	0.963516	3.124578	30	38
JPEG2000	1280×720	0.954521	3.061465	47	36
SVD(S=40, R=10)	640×480	0.937214	4.183163	24	48
SVD(S=40, R=10)	1280×720	0.934430	4.025180	46	32
SVD(S=50, R=10)	640×480	0.955571	3.217802	35	37
SVD(S=50, R=10)	1280×720	0.954312	3.118540	48	33
Proposed algorithm(R=10)	640×480	0.985472	1.650121	26	42
Proposed algorithm(R=10)	1280×720	0.972370	2.674558	43	28

Table 4. Performance comparison of different algorithms

Imageresolution	Acquisitiontime/ms	Coding Time/ms	Decodingtime/ms	Displaytime/ms	Total receivingtime/ms	Speed/(frame·s^-1)
640×480	8.046150	21.657586	19.525346	0.291347	24	40
640×480	4.781484	20.752239	19.510056	0.461578	45	36
640×480	6.237983	20.955538	19.324789	0.262260	37	43
640×480	9.234905	20.955729	19.425044	0.368356	33	42
640×480	7.363080	21.958112	19.622812	0.220060	30	55
640×480	7.099151	21.256327	19.625601	0.759601	27	52
640×480	7.047653	20.955729	19.725832	0.778436	21	40
640×480	8.022308	20.958542	19.826087	0.518560	53	59
640×480	7.053852	20.855641	19.725904	0.508308	50	57
640×480	6.074666	21.256828	19.725952	0.229358	37	53
1280×720	11.811349	43.198490	43.415474	1.002645	45	29
1280×720	13.190103	42.543315	43.315148	1.002550	45	30
1280×720	12.003826	41.543960	42.813849	1.003265	48	29
1280×720	10.649919	41.941475	43.205571	1.034021	46	31
1280×720	11.999368	42.145586	43.214893	1.002073	43	30
1280×720	11.032342	42.546129	43.115067	1.503229	45	29
1280×720	13.033390	42.744135	42.716670	2.005577	60	27
1280×720	12.539241	42.746853	42.763590	1.006126	44	29
1280×720	12.816667	42.021489	43.096685	1.005411	43	28
1280×720	12.212991	43.448495	42.987799	2.009392	40	26

Table 5. Statistical results of each parameter of collected and received images

Liangliang Li, Zhigang Lü, Jin Guo, Xiaoyan Li, Yongxia Yang. UAV Video Transmission Method Based on Video Stream Slicing and Coding[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241021

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