scholarly journals FPGA IMPLEMENTATION OF A DWT AND AES PROCESSOR FOR SECURE IMAGE CODING

2014 ◽  
pp. 66-70
Author(s):  
SANTHOSH KUMAR R ◽  
CYRIL PRASANNA RAJ ◽  
Y. MANJULA ◽  
M.Z. KURIAN
Keyword(s):  
Data Storage ◽  
Image Coding ◽  
Data Exchange ◽  
Industrial Process ◽  
Human Perception ◽  
Image Data ◽  
Digital Data ◽  
Security Level ◽  
Partial Encryption ◽  
Security Information

With the fast growing of digital data exchange, security information becomes much important in data storage and transmission. Due to the increasing use of images in industrial process, it is essential to protect the confidential image data from unauthorized access. Better identification of which data is relevant to human perception at higher compression ratio is needed. In this DWT-AES processor a Reconfigurable Secure Image Coding is proposed. The prominent feature of this method is a partial encryption of key lengths of 128, 192 or 256 bits. Considerable Security level also mentioned. This paper presents the AES algorithm with regard to FPGA. However, linking these two designs to achieve secure image coding is leading.

Gaussian Filtering Method to Remove Noise in Images

2021 ◽  
Vol 10 (1) ◽  
pp. 53
Author(s):  
I Dewa Gede Rama Satya ◽  
I Made Widiartha
Keyword(s):  
Image Quality ◽  
Data Storage ◽  
Image Data ◽  
Digital Data ◽  
Quality Improvement Process ◽  
Gaussian Filtering ◽  
Image Capturing ◽  
Image Quality Improvement ◽  
The Moment ◽  
The Many

Capturing every moment is not taboo in this era. One way to capture the moment is to use a photo, but the results are often unsatisfactory. Noise, is one of the many causes of unsatisfactory results. Noise is a disturbance caused by digital data storage received by the image data receiver which can interfere with image quality. Noise can be caused by physical (optical) disturbances in the image capturing device, such as dust on the camera lens or due to improper processing. To get rid of this noise, you can use various methods, of which Gaussian Filtering is one of them. In this research, we will implement it using Matlab. The type of file used is a photo that has a jpg format and has noise above 75%. After doing image processing, it shows the results of the image which initially has noise and after the image quality improvement process is carried out, the image quality is clearer and the noise decreases.

Application of an image management system in microscopy

1992 ◽  
Vol 50 (2) ◽  
pp. 1052-1053
Author(s):  
Richard S. Chemock
Keyword(s):  
Data Storage ◽  
Cost Savings ◽  
Image Data ◽  
Analytical Techniques ◽  
Operational Mode ◽  
Fine Grained ◽  
Image Recording ◽  
Primary Output ◽  
Capacity Data ◽  
Image Management System

One of the most common tasks in a typical analysis lab is the recording of images. Many analytical techniques (TEM, SEM, and metallography for example) produce images as their primary output. Until recently, the most common method of recording images was by using film. Current PS/2R systems offer very large capacity data storage devices and high resolution displays, making it practical to work with analytical images on PS/2s, thereby sidestepping the traditional film and darkroom steps. This change in operational mode offers many benefits: cost savings, throughput, archiving and searching capabilities as well as direct incorporation of the image data into reports.The conventional way to record images involves film, either sheet film (with its associated wet chemistry) for TEM or PolaroidR film for SEM and light microscopy. Although film is inconvenient, it does have the highest quality of all available image recording techniques. The fine grained film used for TEM has a resolution that would exceed a 4096x4096x16 bit digital image.

New Trends in Digital Data Storage for the Internet of Things

2018 ◽  
Vol 6 (3) ◽  
pp. 359-363
Author(s):  
A. Saxena ◽  
◽  
S. Sharma ◽  
S. Dangi ◽  
A. Sharma ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Digital Data ◽  
The Internet ◽  
Digital Data Storage ◽  
The Internet Of Things
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