scholarly journals A New Approach to Reducing the Distortion of the Digital Image Natural Model in the DCT Domain When Embedding Information According to the QIM Method

2019 ◽  
Author(s):  
Олег Евсютин ◽  
Oleg Evsutin ◽  
Анна Мельман ◽  
Anna Melman ◽  
Роман Мещеряков ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Digital Content ◽  
The Internet ◽  
Embedding Capacity ◽  
New Approach ◽  
Additional Information ◽  
Dct Domain ◽  
Dct Coefficients ◽  
Information Confidentiality

One of the areas of digital image processing is the steganographic embedding of additional information into them. Digital steganography methods are used to ensure the information confidentiality, as well as to track the distribution of digital content on the Internet. Main indicators of the steganographic embedding effectiveness are invisibility to the human eye, characterized by the PSNR metric, and embedding capacity. However, even with full visual stealth of embedding, its presence may produce a distortion of the digital image natural model in the frequency domain. The article presents a new approach to reducing the distortion of the digital image natural model in the field of discrete cosine transform (DCT) when embedding information using the classical QIM method. The results of the experiments show that the proposed approach allows reducing the distortion of the histograms of the distribution of DCT coefficients, and thereby eliminating the unmasking signs of embedding.

A Novel Steganography Algorithm Based on Quantization Table Modification and Image Scrambling in DCT Domain

2020 ◽  
pp. 2154001
Author(s):  
Hongzhu Dai ◽  
Jie Cheng ◽  
Yafeng Li
Keyword(s):  
Image Quality ◽  
Cover Image ◽  
Embedding Capacity ◽  
Image Scrambling ◽  
Information Embedding ◽  
Dct Domain ◽  
Confidential Data ◽  
Dct Coefficients

In this paper, a steganography algorithm has been proposed which is based on quantization table modification and image scrambling in the DCT domain. First, the algorithm homogenizes the energy by scrambling the cover image to improve the number of DCT coefficients suitable for information embedding. Second, the embedding capacity of the DCT block is determined by the value of the quantization table in the algorithm, different quantization tables get different embedding effects. In addition, this paper proposes an optimized modified quantization table. Extensive experiments show that the proposed algorithm achieves a great potential for confidential data and indiscernible image quality.

scholarly journals A NEW APPROACH FOR URBAN ROADS DETECTION USING LASER DATA AND AERIAL DIGITAL IMAGES

2016 ◽  
Vol 10 (1) ◽  
pp. 83-97 ◽  
Author(s):  
Francisco Assis Da Silva ◽  
Anderson Akio Gohara ◽  
Mário Augusto Pazoti ◽  
Danillo Roberto Pereira ◽  
Almir Olivette Artero ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Digital Image ◽  
Aerial Images ◽  
Automatic Extraction ◽  
New Approach ◽  
Additional Information ◽  
Automatic Feature Extraction ◽  
Laser Data ◽  
Sensitivity Rate ◽  
Road Segments

The automatic feature extraction from digital aerial images is not a trivial task mainly due to occlusion problems, shadows and different viewpoints. To obtain an improved feature extraction we used laser data, which have additional information such as height and material type of the surface. In this paper we performed the combination of digital image and laser data in order to improve the results of automatic extraction of urban roads. Initially, the urban roads were detected from the response of laser information; in the sequence we applied two different approaches to connect the disconnected road segments. The results were very promising, with sensitivity rate of 92%.

Phase-shifting methodologies in photoelastic analysis—the application of Jones calculus

1996 ◽  
Vol 31 (6) ◽  
pp. 423-432 ◽  
Author(s):  
K Ramesh ◽  
V Ganapathy
Keyword(s):  
Image Processing ◽  
Stress Concentration ◽  
Data Collection ◽  
Comparative Study ◽  
Digital Image Processing ◽  
Digital Image ◽  
Phase Shifting ◽  
Intensity Data ◽  
New Approach ◽  
Photoelastic Analysis

The potential of digital image processing hardware to record intensity data at video rates has resulted in a new approach for data collection. Efforts were aimed at evaluating isochromatic and isoclinic fringe orders quantitatively by processing the intensity data recorded. These methodologies have come to be known as phase-shifting techniques. The various phase-shifting algorithms in photoelasticity are surveyed and a comparative study is done. The use of Jones calculus to understand these methodologies is brought out. An attempt has been made to identify the reason for loss of accuracy in evaluating the field parameters in stress concentration zones.

Secure Steganography in JPEG Images Based on Histogram Modification and Hyper Chaotic System

2018 ◽  
Vol 10 (1) ◽  
pp. 40-53 ◽  
Author(s):  
Shun Zhang ◽  
Liang Yang ◽  
Xihao Xu ◽  
Tiegang Gao
Keyword(s):  
Chaotic System ◽  
Secure Communication ◽  
Chaotic Encryption ◽  
Embedding Capacity ◽  
Histogram Modification ◽  
Jpeg Images ◽  
Additional Information ◽  
Dct Coefficients ◽  
High Embedding Capacity ◽  
Embedding Rate

Security always plays an important role in the communication. Steganography, which conceals the process of communication, is another efficient way to achieve secure communication besides encryption. This paper proposes a secure steganography scheme in JPEG images with high embedding capacity and low distortion to the cover image. It embeds the additional information by modifying the DCT coefficients in JPEG images. Considering the size of the additional information, some DCT coefficients are adaptively selected in the embedding process. Two chaotic encryption strategies are designed based on the hyper-chaotic system to encrypt the additional information before the embedding to enhance the security. Extensive experiments have demonstrated the validity and efficiency of this proposed scheme. Compared with some existing schemes, it offers larger embedding rate and lower distortion with stronger security.

scholarly journals An Attempt to Attain New Information in Reconstruction of Road Traffic Accidents Applying Digital Image Processing

2012 ◽  
Vol 23 (2) ◽  
pp. 113-119 ◽  
Author(s):  
Dejan Paliska ◽  
Milan Batista ◽  
Roman Starin ◽  
Daša Fabjan
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accident ◽  
Road Traffic Accidents ◽  
Photographic Material ◽  
The Road ◽  
Additional Information

Court expertise dealing with the reconstruction of road traffic accidents often have to take into account the possibility that an accident could have been a set-up. Such suspicions can be eliminated only by considering all the evidence material from the accident scene. In case of photographic material experts come across the missing material, bad lighting, lack of contrast, different angle perspectives, blurring, omitting important details, etc. Therefore, different methods in forensics image processing have been developed. Most of these methods are primarily used in the processing of different types of photographic material, but some can be applied in the field of road accidents analyses. This paper shows the implementation of digital image processing methods used for processing of remotely sensed imagery. Even though the photographic evidence is incomplete, it is possible to determine the position and dispersion of different materials. This gives the experts additional information that can help in understanding with relatively high probability if the collision between vehicles occured at all and if it did, where. The paper consists of the presentation and description of methods used for digital image processing in a real case study while reconstructing the road accident. KEY WORDS: road traffic accidents, forensics, induced traffic accidents, image classification, digital image processing

scholarly journals Forensic Science Research Summary for Forgery Detection of Digital Images

2020 ◽  
Vol 9 (3) ◽  
pp. 1608-1618
Keyword(s):  
Image Processing ◽  
Forensic Science ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Science Research ◽  
Forensic Sciences ◽  
Forgery Detection ◽  
New Approach ◽  
Scanned Images

An important measure of proof collection, storage, and authentication in forensic sciences, which decide the safety and security of any system documents, which can be either portable document formats or scanned images. To gather evidence, or plan a forensic investigation digital images are secured with different modern methodologies. Digital image analysis includes image recovery and surveillance for image information improvement. The goal of forgery detection is to maximize the extraction of information from manipulated images, particularly noisy and post-processed images. Because digital image processing is becoming popular with many advantages in scientific and engineering applications, the forgery techniques are also growing at a rapid rate. Therefore, the main focus is on different types of forgery detection in digital image processing with the help of all transform techniques and comparing their best results for further improvement in order to generate a new approach for a future forensic science investigation.

scholarly journals A NEW APPROACH FOR URBAN ROADS DETECTION USING LASER DATA AND AERIAL DIGITAL IMAGES

2016 ◽  
Vol 10 (1) ◽  
pp. 83-97
Author(s):  
Francisco Assis Da Silva ◽  
Anderson Akio Gohara ◽  
Mário Augusto Pazoti ◽  
Danillo Roberto Pereira ◽  
Almir Olivette Artero ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Digital Image ◽  
Aerial Images ◽  
Automatic Extraction ◽  
New Approach ◽  
Additional Information ◽  
Automatic Feature Extraction ◽  
Laser Data ◽  
Sensitivity Rate ◽  
Road Segments

The automatic feature extraction from digital aerial images is not a trivial task mainly due to occlusion problems, shadows and different viewpoints. To obtain an improved feature extraction we used laser data, which have additional information such as height and material type of the surface. In this paper we performed the combination of digital image and laser data in order to improve the results of automatic extraction of urban roads. Initially, the urban roads were detected from the response of laser information; in the sequence we applied two different approaches to connect the disconnected road segments. The results were very promising, with sensitivity rate of 92%.

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