scholarly journals Real Time Implementation of Video Compression Based on DWT

2021 ◽  
Vol 23 (07) ◽  
pp. 264-268
Author(s):  
Dr. Pramod Kumar Naik ◽  
◽  
Vyasaraj T ◽  
Ramachandra Ballary ◽  
◽  
...  
Keyword(s):  
Parallel Processing ◽  
Video Compression ◽  
Video Processing ◽  
Execution Time ◽  
Discrete Wavelet ◽  
Huge Amount ◽  
Video File ◽  
Processing Mode ◽  
3D Discrete Wavelet Transform ◽  
Internal Architecture

In this paper highly efficient 3D Discrete Wavelet Transform architecture is designed and implemented on seven series FPGA. The throughput is analyzed and its performance matrices are compared with different video file format. Today top of the line high-end image and video consume huge amount of memory. The designed architecture of DWT based video compression is again executed in parallel processing mode and its execution time is tabulated demonstrates reduced the processing or execution time. This paper demonstrates the superiority of the designed architecture both in normal mode of execution and parallel processing mode of execution .We know that higher the throughput of the video processing design results in Low power consumption. The Internal Architecture of the design is explained in brief and is synthesized in Xilinx Vivado 17.4 and implemented on Zed board. Based on the experimental results of the design being implemented on FPGA, demonstrates the memory saving capabilities and superiority of this architecture. The resultant architecture has drastically reduced latency and has enhanced the speed of operation.

Application of DWT in Intra-Frame Coding of Video Compression

2013 ◽  
Vol 380-384 ◽  
pp. 3710-3713
Author(s):  
Xiao Chen Jiang ◽  
Guo Ping Li ◽  
Hai Wu Zhao ◽  
Guo Zhong Wang
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Video Compression ◽  
Video Processing ◽  
Discrete Wavelet ◽  
Visual Effects ◽  
Compression Efficiency ◽  
Coding Efficiency ◽  
Image And Video Processing

With the development of modern signal processing technology, the method of Wavelet Transform (WT) has been greatly used in image and video processing. In this paper, a method to use Discrete Wavelet Transform (DWT) in intra-frame (I-frame) video compression is proposed for the purpose of better compression efficiency and quality on the basis of good visual effects. The method can be functioned as a preprocessing of I-frame coding. The experimental results show that the proposed method has an increase in both coding efficiency and quality.

scholarly journals A Hybrid Image Steganography Method

2019 ◽  
Vol 8 (3) ◽  
pp. 8075-8079
Keyword(s):  
Signal To Noise Ratio ◽  
Image Steganography ◽  
Discrete Wavelet ◽  
Signal To Noise ◽  
Huge Amount ◽  
Video File ◽  
The Public ◽  
File Formats ◽  
Pros And Cons ◽  
Least Significant Bits

This is age of fast communication and data revolution. Huge amount of data is transmitted and received in every second utilizing the current infrastructure. Providing the security and maintaining integrity of the data while it is being transferred through the public channels is a challenging task. Steganography can be used in this purpose by concealing the data inside text, image, audio or video file formats and send the files to the other end. This paper gives an overview of various image steganography methods. To hide secret information in images various steganographic methods are available which have their own pros and cons. In this paper we have discussed the types of image steganography. Here we propose two different image steganography methods using Modified Least Significant Bits (LSB) and Discrete Wavelet Transform (DWT) methods. Also, the results are analyzed using different parameters like Peak signal to noise ratio(PSNR), Mean Square Error(MSE) to find out the efficiency of the proposed methods

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

scholarly journals Image Hiding Using QR Factorization And Discrete Wavelet Transform Techniques

2021 ◽  
Vol 6 (2) ◽  
pp. 72-81
Author(s):  
Reham Ahmed El-Shahed ◽  
◽  
Maryam Al-Berry ◽  
Hala Ebied ◽  
Howida A. Shedeed ◽  
...  
Keyword(s):  
Data Security ◽  
Color Image ◽  
Simple Algorithm ◽  
Qr Factorization ◽  
Discrete Wavelet ◽  
Huge Amount ◽  
Image Hiding ◽  
Media Applications ◽  
Very High ◽  
Better Than

Steganography is one of the most important tools in the data security field as there is a huge amount of data transferred each moment over the internet. Hiding secret messages in an image has been widely used because the images are mostly used in social media applications. The proposed algorithm is a simple algorithm for hiding an image in another image. The proposed technique uses QR factorization to conceal the secret image. The technique successfully hid a gray and color image in another one and the performance of the algorithm was measured by PSNR, SSIM and NCC. The PSNR for the cover image was in the range of 41 to 51 dB. DWT was added to increase the security of the method and this enhanced technique increased the cover PSNR to 48 t0 56 dB. The SSIM is 100% and the NCC is 1 for both implementations. Which improves that the imperceptibility of the algorithm is very high. The comparative analysis showed that the performance of the algorithm is better than other state-of-the-art algorithms

scholarly journals Multimedia Image Processing Lab Experiment/Simulation

2020 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
Md Mamunur Rashid
Keyword(s):  
Image Processing ◽  
Video Compression ◽  
Video Processing ◽  
Multimedia Systems ◽  
Multimedia System ◽  
Image And Video Processing ◽  
Indexing And Retrieval ◽  
Video Indexing And Retrieval ◽  
Multimedia Image ◽  
Processing Techniques

Image Processing in Multimedia Applications treats a number of critical topics in multimedia systems, with respect to image and video processing techniques and their implementations. These techniques include the Image and video compression techniques and standards, and Image and video indexing and retrieval techniques. Image Processing is an important tool to develop a Multimedia system design.

Research and Implementation of Moving Object Contour Extraction Algorithm Based on GPU

2014 ◽  
Vol 643 ◽  
pp. 253-257
Author(s):  
Kai Min Zhao ◽  
Yu Ting Chen ◽  
Jun Li ◽  
Hao Yang ◽  
Li Ying Chen
Keyword(s):  
Parallel Processing ◽  
Mathematical Morphology ◽  
Implementation Process ◽  
Differential Method ◽  
Massive Data ◽  
Contour Extraction ◽  
Moving Targets ◽  
Video File ◽  
Extraction Algorithm ◽  
Morphology Algorithm

In this paper, frame differential method will be used to detect moving targets in a static background video file, and pre-contour can be obtained by binarizing the detected targets . However,, the result are not what was expected, so the expansion and corrosion of mathematical morphology are used to extract the final contour of moving targets. in the progress of dealing with massive data , mathematical morphology is not good enough to achieve the need of the real-time in video surveillance. Considering the dilation and erosion is a kind of parallel processing operations, in order to improve the speed of mathematical morphology operations, this paper offers detailed implementation process of the dilation algorithm for parallel computing on GPU. Experimental results showed that GPU parallel processing on mathematical morphology algorithm faster than the CPU serial processing.

ViPar: High-Level Design Space Exploration for Parallel Video Processing Architectures

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Karim M. A. Ali ◽  
Rabie Ben Atitallah ◽  
Abdessamad Ait El Cadi ◽  
Nizar Fakhfakh ◽  
Jean-Luc Dekeyser
Keyword(s):  
Power Consumption ◽  
Video Processing ◽  
Execution Time ◽  
Design Space Exploration ◽  
Hardware Implementation ◽  
Space Exploration ◽  
Absolute Difference ◽  
Architectural Model ◽  
Processing Architectures ◽  
High Level

Embedded video applications are now involved in sophisticated transportation systems like autonomous vehicles and driver assistance systems. As silicon capacity increases, the design productivity gap grows up for the current available design tools. Hence, high-level synthesis (HLS) tools emerged in order to reduce that gap by shifting the design efforts to higher abstraction levels. In this paper, we present ViPar as a tool for exploring different video processing architectures at higher design level. First, we proposed a parametrizable parallel architectural model dedicated for video applications. Second, targeting this architectural model, we developed ViPar tool with two main features: (1) An empirical model was introduced to estimate the power consumption based on hardware utilization and operating frequency. In addition to that, we derived the equations for estimating the hardware utilization and execution time for each design point during the space exploration process. (2) By defining the main characteristics of the parallel video architecture like parallelism level, the number of input/output ports, the pixel distribution pattern, and so on, ViPar tool can automatically generate the dedicated architecture for hardware implementation. In the experimental validation, we used ViPar tool to generate automatically an efficient hardware implementation for a Multiwindow Sum of Absolute Difference stereo matching algorithm on Xilinx Zynq ZC706 board. We succeeded to increase the design productivity by converging rapidly to the appropriate designs that fit with our system constraints in terms of power consumption, hardware utilization, and frame execution time.

VLSI Architectures for Lifting Based Discrete Wavelet Transform – A Survey

2016 ◽  
Vol 3 (2) ◽  
pp. 323
Author(s):  
M. Kalaiarasi ◽  
T. Vigneswaran
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Discrete Wavelet Transform ◽  
Video Compression ◽  
Perfect Reconstruction ◽  
Discrete Wavelet ◽  
Vlsi Architectures ◽  
3 Dimensional ◽  
Recursive Structures ◽  
Memory Power

<p>Image compression is a key technology in the development of various multimedia and communication applications. Perfect reconstruction of the image without any loss in picture quality and data is very important. This can be achieved with the Discrete Wavelet Transform (DWT), which is an efficient tool for image compression and video compression. The lifting based DWT architecture has the advantage of lower computational complexities and also requires less memory compared to the conventional convolution method. The existing DWT architectures are represented in terms of folded, flipping and recursive structures. The various architectures are discussed in terms of memory, power consumption and operating frequency involved with the given size of image and required levels of decomposition. This paper presents a survey of these architectures for 2-dimensional and 3-dimensional Discrete Wavelet Transform. This study is useful for deriving an efficient method for improving the speed and hardware complexities of existing architectures.</p>

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