Implementation of the JPEG on DSP Processors

2010 ◽  
Vol 34-35 ◽  
pp. 1536-1539 ◽  
Author(s):  
Shi Jun Li ◽  
Xi Long Qu ◽  
Qiang Li

this paper introduces the design and implementation of JPEG image compression based on the high speed DSP TMS320VC5416 available from Texas Instruments. Especially, the realization and optimization of DCT transform is discussed and the image Lena is compressed with different way. Experiments show that the reconstructed images have PSNR above 34dB . JPEG algorithm is a digital image compression algorithm with high compression ratio, little distortion characteristics, and has been identified as international standards. This standard has been widely used in digital cameras, surveillance systems, mobile phones, video phones, and many other aspects. It is important to research and realize a real-time image compress system Using JPEG. DSP is used in real-time processing and portable applications with special hardware structure. DSP with high processing speed and excellent operation performance is particularly adapted to image processing. This article introduces DSP-based implementation of JPEG[1].

2014 ◽  
Vol 945-949 ◽  
pp. 1752-1755
Author(s):  
Chui Xin Chen ◽  
Yang Hong Mao

The real-time processing for the input analog audio signal, audio processing program is proposed based on DSP. The system use FFT algorithm as the core, first, the input analog audio signal is sampled and A/D conversion using TLV320AIC23, and then use high speed digital signal processor to make real-time processing for the signal. Theoretical and experimental results show that the system can meet the design requirements, it has the advantage of high real-time and simple structure. The system has a good application and reference value for the development and design of data collecting and remote monitoring.


2016 ◽  
Vol 23 (5) ◽  
pp. 1254-1263 ◽  
Author(s):  
Matthias Vogelgesang ◽  
Tomas Farago ◽  
Thilo F. Morgeneyer ◽  
Lukas Helfen ◽  
Tomy dos Santos Rolo ◽  
...  

Real-time processing of X-ray image data acquired at synchrotron radiation facilities allows for smart high-speed experiments. This includes workflows covering parameterized and image-based feedback-driven control up to the final storage of raw and processed data. Nevertheless, there is presently no system that supports an efficient construction of such experiment workflows in a scalable way. Thus, here an architecture based on a high-level control system that manages low-level data acquisition, data processing and device changes is described. This system is suitable for routine as well as prototypical experiments, and provides specialized building blocks to conduct four-dimensionalin situ,in vivoandoperandotomography and laminography.


2014 ◽  
Vol 651-653 ◽  
pp. 911-915
Author(s):  
Jing Gao ◽  
Yin Liang Jia ◽  
Bing Yang Li

The main research object is the graphics generation and display system based on FPGA, the system is mainly used for the integrated display of aircraft cockpit. The display system has the characteristics of large amount of data, real-time processing in the graphics generation. According to the characters, the paper uses programmable logic device due to FPGA has the advantages of high speed, real time. In order to further improve the efficiency of the system, the paper also designs the ping-pong operation of double SSRAM(Synchronous Static Random Access Memory) at the same time. Through the experiment, the system can run well and achieve the desired objectives.


Author(s):  
И.Г. Малыгин ◽  
О.А. Королев

Современные интеллектуальные видеосистемы наблюдения стали все больше акцентироваться на передачу в реальном времени высококачественного видео различных важных событий, в том числе чрезвычайных ситуаций. Для высокопроизводительных систем передачи видеоинформации нового поколения необходимы эффективные структурные решения, способные как к высокой скорости передачи, так и к высокой точности вычисления. Такие структуры должны обрабатывать огромные последовательности изображений, при этом каждый видеопоток должен характеризоваться высоким разрешением с минимальным шумом и искажениями, потребляя при этом как можно меньше мощности. Спектральные алгоритмы обработки видеоинформации являются наиболее распространенным способом передачи в реальном времени, в частности дискретное косинусное преобразование. При этом исходное изображение подвергается преобразованию из пространственной в частотную область с целью сжатия путём уменьшения или устранения избыточности визуальных данных. Неявное вычисление преобразования последовательности 8-точечного массива приводит к эффективному сжатию, требующему не более пятикратного выполнения операции умножения. В статье предложены архитектура с низкой структурой сложности и метод преобразования изображений на основе алгебры целых чисел. Modern intelligent video surveillance systems have become increasingly focused on real-time transmission of high-quality video of various important events, including emergencies. For high-performance video information transmission systems of the new generation, efficient structural solutions are needed that are capable of both high transmission speed and high calculation accuracy. Such structures must process huge sequences of images, and each video stream must be characterized by high resolution and with minimal noise and distortion, while consuming as little power as possible. Spectral algorithms for processing video information are the most common method of transmission in real time, in particular the discrete cosine transform. In this case, the original image is transformed from the spatial to the frequency domain in order to compress by reducing or eliminating the redundancy of visual data. Implicitly calculating the sequence transformation of an 8-point array results in efficient compression, requiring no more than five times the multiplication operation. In this paper, we propose an architecture with a low complexity structure and image transformation method based on the algebra of integers


2020 ◽  
Vol 69 (1) ◽  
pp. 323-326
Author(s):  
N.B. Zhapsarbek ◽  

In the modern world, specialists and the information systems they create are increasingly faced with the need to store, process and move huge amounts of data. The definition of large amounts of data, Big Data, is used to denote technologies such as storing and analyzing large amounts of data that require high speed and real-time decision making during processing. In this case, large volumes, high accumulation rate, and the lack of a strict internal structure of "big data" are considered. All of this also means that classic relational databases are not well suited for storing them. In this article, we showed solutions for processing large amounts of data for pharmacy chains using NoSQL. This paper presents technologies for modeling large amounts of data using NoSQL, including MongoDB, and also analyzes possible solutions, limitations that do not allow this to be done effectively. This article provides an overview of three modern approaches to working with big data: NoSQL, DataMining and real-time processing of event flows. In this article, as an implementation of the studied methods and technology, we consider a database of pharmacies for processing, searching, analyzing, forecasting big data. Also, when using NoSQL, we showed work with structured and poorly structured data in parallel in different aspects and showed a comparative analysis of the newly developed application for pharmacy workers.


2012 ◽  
Vol 35 (3) ◽  
pp. 477-490 ◽  
Author(s):  
Kai-Yuan QI ◽  
Zhuo-Feng ZHAO ◽  
Jun FANG ◽  
Qiang MA

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