Video quality evaluation using DWT-SPIHT based watermarking technique

R. Kumar, Sanjeet Kumar, Sukhreet Singh Brar
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引用次数: 1

Abstract

The video quality analysis is very important in today's video broadcasting and transmission quality control because the quality is a key factor in customer satisfaction. This paper presents a full reference based video quality evaluation technique, using the application of watermarking. Frames with low complexity value are selected for the insertion of the watermark, on the selected video frames; DWT is applied up to third level to get the DWT coefficients. Then SPIHT encoding/decoding is applied which helps in finding the significant coefficients for the insertion of watermark. The significant coefficients are converted into bit-planes and 3rd bit plane (from LSB side) of each coefficient is selected for watermark. The SPIHT algorithm ensures that the watermark bits are inserted uniformly throughout the frames. After embedding the watermark, the IDWT is applied and we get the watermarked frames which are then incorporated in the video file. The simulation results show no visible difference between watermarked frame and original frame. The video quality is estimated in terms of peak signal to noise ratio (PSNR), structure similarity (SSIM) and true detection rates (TDR) against various attacks like Salt pepper noise, rotation Gaussian noise and compression attacks. The results indicate that the proposed technique for quality evaluation of the video, accurately calculates the quality of a video and also it is robust against various attacks.
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基于DWT-SPIHT水印技术的视频质量评价
视频质量是影响用户满意度的关键因素,因此视频质量分析在当今视频广播和传输质量控制中具有重要意义。本文提出了一种基于全参考的视频质量评价技术,利用水印技术进行视频质量评价。选取复杂度值较低的帧,在选取的视频帧上插入水印;将小波变换应用到第三层,得到小波变换系数。然后采用SPIHT编码/解码,找到水印插入的有效系数。将有效系数转换为位平面,选择每个系数的第3位平面(LSB侧)作为水印。SPIHT算法确保水印位在帧中均匀插入。水印嵌入后,应用IDWT得到水印帧,然后将水印帧合并到视频文件中。仿真结果表明,水印帧与原始帧之间没有明显的差异。视频质量是根据峰值信噪比(PSNR)、结构相似度(SSIM)和真实检测率(TDR)对各种攻击(如盐胡椒噪声、旋转高斯噪声和压缩攻击)进行估计的。结果表明,所提出的视频质量评价方法能够准确地计算出视频的质量,并且对各种攻击具有较强的鲁棒性。
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