A Comparison Between XVC, AV1, and HEVC video CODECs: Minimizing Network Traffic While Maintaining Quality

Volume 5 Issue 3 July - September 2018

Research Paper

A Comparison Between XVC, AV1, and HEVC video CODECs: Minimizing Network Traffic While Maintaining Quality

Jonathan Adolfsson*, Fredrik Hyyrynen**

*Electrical Engineer, KTH Royal Institute of Technology, University in Stockholm, Sweden

**Computer Scientist, KTH Royal Institute of Technology University in Stockholm, Sweden

Adolfsson , J., and Hyyrynen, F., (2018). A Comparison Between Xvc, Av1, And Hevc Video Codecs: Minimizing Network Traffic While Maintaining Quality. i-manager’s Journal on Image Processing, 5(3), 1-13. https://doi.org/10.26634/jip.5.3.15265

Abstract

IP video traffic on the network continues to grow. To account for a future traffic of a million minutes of videos per second, it is important to minimize the traffic each video generates. This is a performance comparison of the HEVC, AV1, and xvc (in fast mode) video CODECs with the focus on minimizing network traffic for common use cases, such as video conferences and social media video streaming, these being used, where less than optimal videos are sent. The purpose is to identify which CODEC gives the best quality at the lowest bit rate. This is done by running a test bench with multiple videos of different qualities, encoding and decoding each video with each CODEC. The study shows that xvc (fast mode) and AV1 (double-pass) has similar quality performance on the dataset and has a noticeable improvement compared to HEVC (double-pass) when it comes to less optimal video quality. This research work was conducted in the context of the course II2202 Research Methodology and Scientific Writing at KTH Royal Institute of Technology, Sweden.

Case Study: Image Fusion Concepts in Remote Sensing Applications

Volume 5 Issue 2 April - June 2018

Case Study

Case Study: Image Fusion Concepts in Remote Sensing Applications

Mamta C. Mane*, J. S. Kulkarni**

* P.G. Scholar, Department of Electronics & Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Maharashtra, India.

** Assistant Professor, Department of Electronics & Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Maharashtra,India.

Mane, M,C.,and Kulkarni,J,S.(2018). Case Study: Image Fusion Concepts In Remote Sensing Applications. i-manager’s Journal on Image Processing , 5(2),31-36. https://doi.org/10.26634/jip.5.2.14286

Abstract

Image fusion is a process of combining two or more images of same scene captured by different sensors and converting into single image to get the detailed information of an image. Image fusion method is used to improve the quality of an image. Image fusion is applicable in image analysis applications, such as in medical, remote sensing application, robotics, etc. Many fusion methods are used for image fusion, such as Brovey, Multiplicative and Principal Component Analysis (PCA), etc.

Discrete Wavelet Transform Based VLSI Architecture for Image Compression– A Survey

Volume 5 Issue 2 April - June 2018

Research Paper

Discrete Wavelet Transform Based VLSI Architecture for Image Compression– A Survey

Nandeesha R.*, Somasekar K.**

* Assistant Professor, Department of Electronics and Communication Engineering, Government Engineering College, K.R.Pet., Mandya, India.

** Professor, Department of Electronics and Communication Engineering, SJB Institute of Technology, Bengaluru, India.

Nandeesha,R .,and Somashekar, K.(2018). Discrete Wavelet Transform Based VLSI Architecture for Image Compression – A Survey. i-manager’s Journal on Image Processing , 5(2),23-30. https://doi.org/10.26634/jip.5.2.14606

Abstract

In this paper, various types of VLSI architectures for image compression using Discrete Wavelet Transform (DWT) were reviewed. Images are the most convenient way of transmitting information. Compression is done to reduce the redundancy of the image and to store or transmit the data in an efficient manner. The DWT is popularly used due to its perfect reconstruction, multiresolution, and scaling property. The different architectures for convolution and lifting based schemes that are very much essential to design a new efficient hardware architecture for image compression are discussed. The DWT is the mathematical tool of choice, when digital images are to be viewed or processed at multiple resolutions. The signal compression and processing applications using wavelet based coding are of major concern.

Digital Image Processing Based Blood Group Analysis in Healthcare Application for Humans

Volume 5 Issue 2 April - June 2018

Research Paper

Digital Image Processing Based Blood Group Analysis in Healthcare Application for Humans

S. Karthikeyan*

*UG Scholar, Department of Electrical and Electronics Engineering, AVS Engineering College, Salem, Tamil Nadu, India..

Karthikeyan,S.(2018). Digital Image Processing Based Blood Group Analysis in Healthcare Application for Humans. i-manager’s Journal on Image Processing , 5(2),18-22. https://doi.org/10.26634/jip.5.2.15015

Abstract

The primary objective of this work is image processing based blood groups identification that utilizes the digital image matching process without using needles. Now-a-days, the blood group testing uses needles and also utilizes some chemicals, optical plates, cotton cloths, etc. Above biomaterial disposal in the environment is very dangerous and also creates environmental soil pollution. Non-bio degradable materials are the main pollution sources in soil. Technology and various researches have dominated to save human blood and to control the soil pollution and thus the present situation is met. The novel blood group testing is done by finding blood group of a patient without piercing the skin. This article explains a method to determine the human blood type by applying digital image processing to understand the image of artificial vessels underlying the skin. The research includes Multicore wavelength light sprinkling method, where light passes through the vessels for classifying the blood cells based on exact antigens on the red blood cell surface. The transferrable camera along with photo-detectors forms the basic detector structure and is used to detect the light distribution produced by blood cell to determine the blood type. This research presents a current state-of-the-art in optimizing digital image processing based blood group identification, which provides a clear vision of the latest top research advances in image processing with the help of MatLab and Embedded C program.

Quantitative Analysis and Performance Augmented Compression Technique Using Fractional Fourier Transform

Volume 5 Issue 2 April - June 2018

Research Paper

Quantitative Analysis and Performance Augmented Compression Technique Using Fractional Fourier Transform

Ankita Sharma*, Narendra Singh**, Deepak Sharma***

* PG Scholar, Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India.

**-*** Assistant Professor, Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India.

Sharma, A., Singh,N., Sharma.,D .(2018). Quantitative Analysis and Performance Augmented Compression Technique Using Fractional Fourier Transform. i-manager’s Journal on Image Processing, 5(2),7-17. https://doi.org/10.26634/jip.5.2.14338

Abstract

The agile growth and demand of high quality multimedia has been raised drastically in last half decade. To storage and process this huge data over internet is a big challenge. Efficient transmission with less storage space demands the compression for such type of data. The performance of compression is closely related to the performance of any mathematical transforms in terms of energy compaction and spatial frequency isolation by majorly exploiting inter-pixel redundancies. The Fractional Fourier Transform (FRFT) is the generalization of the Fourier transform which may use in signal compression due to its property of establishing high correlation among the coefficients and its beauty of compact signal representation in FRFT domain along with noise immunity. The Discrete Fractional Fourier Transform (DFRFT) is derived form of Discrete Fourier transforms (DFT). In this article, a compression scheme based on Discrete Fractional Fourier Transform is proposed with superior performance over Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and other Fractional Transforms based Compression schemes. The convincing feature of discrete fractional transforms is that it benefitted us with an extra degree of freedom that is provided by its fractional orders. In this scheme, an image is subdivided and DFRFT is applied on each subdivided image to transformed coefficients and quantize these transformed coefficients with reduced size subsequently, run length encoding is applied for further compression. Later, decompression is achieved by applying decoding and reverse order DFRFT on each sub-images and reconstruction of original image is done by merging all sub-images. The performance of the proposed scheme is evaluated on parameters, such as Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), and Compression Ratio (CR) using MATLAB software environment.

A Multimodal Biometric System-Aadhar Card

Volume 5 Issue 2 April - June 2018

Article

A Multimodal Biometric System-Aadhar Card

Snehlata Barde*

* Associate Professor, MATS School of Information Technology, MATS University, Raipur, India.

Barde,S.(2018). A Multimodal Biometric System-Aadhar Card. i-manager’s Journal on Image Processing , 5(2),1-6.https://doi.org/10.26634/jip.5.2.14312

Abstract

In last decade, many real world applications were developed based on unimodal biometric systems. Generally it is used for identifying human's physiological characteristic like face, fingerprints, and thumb for person verification. Biometric provides a solution for security, where unimodal systems have significant limitations due to sensitivity to noise, intraclass variation, non-universality, Spoof attacks, and other factors. To improve the performance of matchers in such various situations may not prove to be highly effective. Multibiometric systems seek some of these problems by providing multiple pieces of evidence with same identity and help to increase the performance which may not be possible in singlebiometric indicator. Aadhar card is a best idea to check the authenticity of a person, which is more secure and identical. This paper presents the limitations of biometric and proves the privacy and security of an Aadhaar card.

Flame Monitoring System of Power Station Plant - A Survey

Volume 5 Issue 1 January - March 2018

Survey Paper

Flame Monitoring System of Power Station Plant - A Survey

Mamta C. Mane*, J. S. Kulkarni**

* P.G. Scholar, Department of Electronic & Telecommunication Engineering , Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India.

** Assistant Professor, Department of Electronic & Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India.

Mame,M.C., and Kulkarni,J.S.(2018). Flame Monitoring System of Power Station Plant - A Surveyi-manager’s Journal on Image Processing, 5(1), 33-37. https://doi.org/10.26634/jip.5.1.14289

Abstract

A thermal power plant plays an important role for generating the electricity. The thermal power plants require essential elements, which are fossil fuels, such as coal, oil, etc. Coal is burned to generate heat energy in the furnace. Hence, analysis of flame is very important when fuel combustion takes place in a furnace. Combustion quality plays an important role to reduce the wastage of fuel. The combustion quality of fuel is high and has the less wastage of fuel. As fossil fuels are more expensive in cost, Flame image monitoring system plays an important role in analysing the combustion quality. Flame image monitoring system involves capturing the flame image in different instants of time to check the quality of combustion with the help of Back Propagation Algorithm (BPA) and Ant Colony Optimization (ACO) technique (Sujatha et al., 2017). The quality of combustion also depends on the flame temperature. The intelligent sensors are used to monitor the flame temperature and Internet of things (IoT) is used to make the flame monitoring system smarter.