Binary Arithmetic Coding System with Adaptive Probability Estimation by "Virtual Sliding Window"

2006 ◽  
Author(s):  
E. Belyaev ◽  
M. Gilmutdinov ◽  
A. Turlikov
Keyword(s):  
Sliding Window ◽  
Arithmetic Coding ◽  
Probability Estimation ◽  
Coding System ◽  
Binary Arithmetic

State-Based Multi-parameter Probability Estimation for Context-Based Adaptive Binary Arithmetic Coding

2020 ◽  
Author(s):  
Paul Haase ◽  
Stefan Matlage ◽  
Heiner Kirchhoffer ◽  
Christian Bartnik ◽  
Heiko Schwarz ◽  
...  
Keyword(s):  
Arithmetic Coding ◽  
Probability Estimation ◽  
Binary Arithmetic

scholarly journals Enhanced Binary MQ Arithmetic Coder with Look-Up Table

Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 143
Author(s):  
Hyung-Hwa Ko
Keyword(s):  
Arithmetic Coding ◽  
Coding System ◽  
Compression Efficiency ◽  
Coding Efficiency ◽  
Look Up Table ◽  
Binary Arithmetic ◽  
Range Interval ◽  
Context Free ◽  
Level Quantization ◽  
Arithmetic Coder

Binary MQ arithmetic coding is widely used as a basic entropy coder in multimedia coding system. MQ coder esteems high in compression efficiency to be used in JBIG2 and JPEG2000. The importance of arithmetic coding is increasing after it is adopted as a unique entropy coder in HEVC standard. In the binary MQ coder, arithmetic approximation without multiplication is used in the process of recursive subdivision of range interval. Because of the MPS/LPS exchange activity that happens in the MQ coder, the output byte tends to increase. This paper proposes an enhanced binary MQ arithmetic coder to make use of look-up table (LUT) for (A × Qe) using quantization skill to improve the coding efficiency. Multi-level quantization using 2-level, 4-level and 8-level look-up tables is proposed in this paper. Experimental results applying to binary documents show about 3% improvement for basic context-free binary arithmetic coding. In the case of JBIG2 bi-level image compression standard, compression efficiency improved about 0.9%. In addition, in the case of lossless JPEG2000 compression, compressed byte decreases 1.5% using 8-level LUT. For the lossy JPEG2000 coding, this figure is a little lower, about 0.3% improvement of PSNR at the same rate.

An Efficient Probability Estimation Design for Logarithmic Binary Arithmetic Coding

2019 ◽  
Author(s):  
Benben Niu ◽  
Xiaoran Cao ◽  
Liqiang Wang ◽  
Ziwei Wei ◽  
Quanhe Yu ◽  
...  
Keyword(s):  
Arithmetic Coding ◽  
Probability Estimation ◽  
Binary Arithmetic

scholarly journals Robust and brittle secured video for IOT

2018 ◽  
Vol 7 (2.20) ◽  
pp. 93 ◽  
Author(s):  
K Lakshmi Narayanan ◽  
G P. Ramesh ◽  
V Divya
Keyword(s):  
High Performance ◽  
Electronic Device ◽  
Digital Camera ◽  
Vital Role ◽  
Arithmetic Coding ◽  
High Quality ◽  
Binary Arithmetic ◽  
Computer Based ◽  
The Military ◽  
The Internet Of Things

In this paper the system is mainly designed for the  military purpose security since now-a-days securing our military has become a difficult task .our live is mainly dependent on other objects mainly we are computer based living and digital image processing plays a vital role in it. This process has much advantage as well as some disadvantage. A VLSI circuit is built with many millions of IC chip, so it is considered to be indivisible for the construction purpose. The internet-of things (Iot) is a electronic device which is connected to the vehicle and the building item which is used to generate many secured techniques which is connected with the software, electrical, electronics and mechectronics devices and human recourses also. Better Portable Graphics Algorithm with a Context-Adaptive Binary Arithmetic Coding (CABAC) encoding algorithm is used in the existing system this process is affected by the Gaussian noise, low compression ratio and time delay to overcome above issues and  enhanced with Secure Better Portable Graphics (SBPG) compression algorithm with HEVC is present .The proposed architecture is suitable for high performance imaging in the Iot and for the high quality compression files and secured transformation of image and video captured in the digital camera. Encryption and watermarking are the two technique used in the process. The watermarking technique is more secure than the previous system. This process produces high quality JPEG, and high PSNR ratio. The scrambling algorithm is used in the encryption process. It is used for providing secured image.

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