Self-organization feature map based on VQ components to solve image coding problem
This paper present image coding which is gained many researchers attention in order to
improve the quality of image after the compression process. Since this is expended most …
improve the quality of image after the compression process. Since this is expended most …
Exploring the Implementation of JPEG Compression on FPGA
AM De Silva, DG Bailey… - 2012 6th International …, 2012 - ieeexplore.ieee.org
This paper presents the implementation of the JPEG compression on a field programmable
gate array as the data are streamed from the camera. The goal was to minimise the logic …
gate array as the data are streamed from the camera. The goal was to minimise the logic …
Variable quality factor jpeg image compression using dynamic partial reconfiguration and microblaze
J Sarkhawas, P Khandekar… - … Control and Automation, 2015 - ieeexplore.ieee.org
As the possibilities and the technology offered by the reconfigurable devices is improving
constantly, reconfigurable computing is becoming a research area of interest for many …
constantly, reconfigurable computing is becoming a research area of interest for many …
[PDF][PDF] Effective lossy and lossless color image compression with Multilayer Perceptron
PL Chithra, AC Tamilmathi - International Journal of Engineering & …, 2018 - academia.edu
This paper presents the effective lossy and lossless color image compression algorithm with
Multilayer perceptron. The parallel structure of neural network and the concept of image …
Multilayer perceptron. The parallel structure of neural network and the concept of image …
[PDF][PDF] FPGA implementation of CSD based NN image compression architecture
M Kiran, K Nikhileswar, K Ramanaiah - ICTACT J. Microelectron., 2021 - ictactjournals.in
Complexity will be the critical issue in Very Large Scale Integration (VLSI) implementation of
Image Compression Architectures. Especially it will be predominant issue while dealing with …
Image Compression Architectures. Especially it will be predominant issue while dealing with …
[PDF][PDF] Backpropagation Neural Network
ONA Al-Allaf - Journal of Applied Sciences, 2011 - zuj.edu.jo
Vector Quantization (VQ) is a powerful technique for image compression. One of the most
VQ problems is the high computational complexity of searching for the closest codevector in …
VQ problems is the high computational complexity of searching for the closest codevector in …
Modified lifting scheme algorithm for DWT with optimized latency & throughput and FPGA implementation for low power & area
SM Mohan, P Sathyanarayana - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
The image processing applications require low power and high speed, the convolution
based 1D-DWT is not desirable. In this proposed architecture the modified 5/3 lifting …
based 1D-DWT is not desirable. In this proposed architecture the modified 5/3 lifting …
[PDF][PDF] A Hardware Architecture of a Counter-Based Entropy Coder
AZR Langi - ITB J. Eng. Sci, 2012 - academia.edu
This paper describes a hardware architectural design of a real-time counter based entropy
coder at a register transfer level (RTL) computing model. The architecture is based on a …
coder at a register transfer level (RTL) computing model. The architecture is based on a …
Research on snow removal effect evaluation on airport runway based on wireless data transmission and image recognition
B Chen, BL Nie, T **, XD Shi… - Sensors & …, 2013 - search.proquest.com
The effect of snow removal on airport runaway is relied on the human naked eyes. A new
method that is based on image recognition and transmission technology to evaluate the …
method that is based on image recognition and transmission technology to evaluate the …
Digital implementation of a neural network for imaging
R Wood, A McGlashan, J Yatulis… - Photonics North …, 2012 - spiedigitallibrary.org
This paper outlines the design and testing of a digital imaging system that utilizes an artificial
neural network with unsupervised and supervised learning to convert streaming input (real …
neural network with unsupervised and supervised learning to convert streaming input (real …