Comparative Analysis Of BM3D And Complex Wavelet Transform Based Image Denoising Techniques

Vol. 2  Issue 3
Year: 2015
Issue:Jul-Sep 
Title:Comparative Analysis Of BM3D And Complex Wavelet Transform Based Image Denoising Techniques
Author Name:S. Swarnalatha, P. Satyanarayana and B. Shoban Babu 
Synopsis:
This paper presents a comparison between the BM3D and Complex Wavelet Transform based image denoising techniques based on their performance analysis. Complex Wavelet Transforms overcome the limitations of classic Discrete Wavelet Transforms such as, shift sensitivity, poor directionality. Block Matching with 3D filtering (BM3D) technique is a combination of spatial and transform domain filtering techniques. BM3D employs the spatial filtering like Wiener Filtering, and transform based techniques such as Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT); and fusing all the filtered results into a single image to accomplish better performance. As the BM3D techniques use both the spatial and transform based filtering techniques, it achieves a better performance than that of the Complex Wavelet Transforms. However, BM3D based image denoising technique consumes more time than that of Wavelet Transform based image denoising techniques.

Transform Based Efficient And Robust Watermarking Technique For Medical Images Using Differential Evolution

Vol. 2  Issue 3
Year: 2015
Issue:Jul-Sep 
Title:Transform Based Efficient And Robust Watermarking Technique For Medical Images Using Differential Evolution
Author Name:Venugopal Reddy and Siddaiah P
Synopsis:
In this research work, a transform based medical image watermarking algorithm is used. Differential Evolution (DE) optimization technique is proposed to ensure that the watermark maintains its structural integrity along with robustness and imperceptibility. Differential Evolution (DE) optimization is employed to optimize the objective function to choose a correct type of wavelet and scaling factor. The water marking is proposed to be implemented using Discrete Wavelet Transforms (DWT), Lifted Wavelet Transform (LWT) and Singular Value Decomposition (SVD) techniques. The encryption is done using RSA and AES encryption algorithms. A Graphical User Interface (GUI) which enables the user to have ease of operation in loading the image, watermark it, encrypt it, and also retrieve the original image whenever necessary is also designed and presented in this paper. The robustness and the integrity of the watermark are tested by measuring different performance parameters and subjecting it to various attacks.

Image Authentication Using Semifragile Watermarking And Vector Quantization

Vol. 2  Issue 2
Year: 2015
Issue:Apr-Jun
Title:Image Authentication Using Semifragile Watermarking And Vector Quantization
Author Name:Archana Tiwari and Manisha Sharma
Synopsis:
In this paper, a new technique for image authentication is presented which uses semifragile watermarking scheme using vector quantization approach. The proposed scheme suggests semifragile watermarking scheme for blind image authentication using VQ (Vector quantization) by applying novel index based method combined with Discrete cosine transform. Present method is tested using, different combinations of code books for watermark insertion and extraction procedure . The proposed method results in an improved PSNR with an average value of 42 dB compared to average value 30 dB suggested by Lu et al.

Data Hiding In Encrypted Compressed Videos For Privacy Information Protection

Vol. 2  Issue 2
Year: 2015
Issue:Apr-Jun
Title:Data Hiding In Encrypted Compressed Videos For Privacy Information Protection
Author Name:Sivappagari Chandra Mohan Reddy and M. Manasa 
Synopsis:
The large size of video data makes it desirable to be stored and processed in the cloud. To provide security and privacy for the data in the cloud, the video data must be stored in encrypted form. It is also necessary to perform data hiding to avoid the leakage of video content. This paper proposes a novel method of embedding additional data in H.264/AVC video bit streams to meet the privacy preserving requirements of cloud data management. This method proposes three processes namely: H.264/AVC video encryption, Embedding of encrypted data and extraction of original data. Depending upon the property of H.264/AVC codec, the code words of I-frames and P-frames are encrypted with stream ciphers. The data to be embedded into the encrypted video is also encrypted by Chaos encryption technique and hidden into the video by bit replacement method. Data extraction is done both in encrypted domain and in decrypted domain. Experimental results show that the proposed method preserves file size, whereas degradation in video quality caused by data embedding is less.

Compression Of Encrypted Images In Prediction Error Domain

Vol. 2  Issue 2
Year: 2015
Issue:Apr-Jun
Title:Compression Of Encrypted Images In Prediction Error Domain
Author Name:Betcy K Joy and Baby Dhanya S. N
Synopsis:
The rapid development of techniques requires fast and secure transmission of images through the network. Traditional way of secure transmission is, to encrypt the compressed images. Even if this meets security prerequisites, this situation may be reversed. Therefore, an efficient image encryption then compression system (ETC) in prediction error domain is introduced. In this system, image is encrypted by calculating the prediction error of each pixel followed by encoding techniques. The encoding is done by simple arithmetic coding method. Simulation results shows that bit rate can be reduced to 12.

Hyperspectral Image Analysis Using Harmonic Analysis With PSO Optimized RVM

Vol. 2  Issue 2
Year: 2015
Issue:Apr-Jun
Title:Hyperspectral Image Analysis Using Harmonic Analysis With PSO Optimized RVM
Author Name:Keerthika. S and Sivaranjini. R 
Synopsis:
Image processing plays a vital role in all fields like satellite, medical, telecommunication, and missile. Hyper spectral images show similar statistical properties to natural grayscale or color photographic images. HSI (Hyper Spectral Image) are a more challenging area because of high spectral bands and dimensionality. It is also very easy to learn. It is used to identify the problems in various fields like Signal Processing, and moreover used to determine the complex manifolds. There are several algorithms which have been proposed to classify the hyper spectral image. In our paper new methods have been introduced, that is Harmonic Analysis based classification such as HA-PSO-RVM (Particle swarm Optimization – Relevance Vector Machine) approach. This new approach accurately classifies the cluster band with respect to their amplitude and phase. Harmonic Analysis (HA) is introduced to extract the features of hyper spectral image. Amplitude and phase features have been obtained by deriving HA. Then the best features are selected, among extracted features by Particle swarm Optimization. Finally, the respective bands are classified by a related cluster, which are performed by the help of Relevance Vector Machine (RVM). This classifier accurately classifies the band to respective cluster form. In prior work, instead of HA, the used MNF, PCA and ICA could extract features and also in combination of PSO-SVM could use CV-SVM and GA-SVM. Here, the process will be carried out by integrating HA-PSO-RVM. This combination leads to provide good accuracy and also limited computer time because of the usage of the PSO Method.

A Comparative Study On Diverse Fuzzy Logic Techniques In Segmenting The Color Images

Vol. 2  Issue 2
Year: 2015
Issue:Apr-Jun
Title:A Comparative Study On Diverse Fuzzy Logic Techniques In Segmenting The Color Images
Author Name:P. Ramesh and S. Thilagamani
Synopsis:
During the past several decades, there were tremendous developments in the field of Image Segmentation. Due to the extreme thrust in enhancing the quality of the image segmentation process, numerous segmentation techniques have evolved. Segmentation in color images is quite difficult due to the uncertainties that exist at the boundary. Fuzzy logic is an ideal concept which is well suited in such cases. It is an approach of computation which is based on the degrees of truth rather than the Boolean logic through which the modern computer works. Fuzzy techniques are highly popular due to its rapid extension of fuzzy set theory and are mainly based on the binary valued membership. Thus the Fuzzy techniques applied in image processing can efficiently manage the ambiguities present in the images. Hence this comparative analysis mainly indicates the working methodologies of different collections of Fuzzy logic techniques in image segmentation and this in turn helps the image processing researchers to innovate more advanced techniques in Fuzzy concept and solve the problem in hand.