A Review on Blind and Non-Blind Deblurring Techniques in Image processing

Vol.1  No.2

Year : 2014

Issue : Apr-Jun

Title : A Review on Blind and Non-Blind Deblurring Techniques in Image processing

Author Name : M.Sahithya, Irala Suneetha, N PUSHPALATHA

Synopsis :

Image blur is a very difficult problem. Now a days, deblurring plays a vital role in digital image processing. Image deblurring has infinite solutions which are unstable because it is used to make the picture sharp and useful. So, to find the best solution for adjusting the regularization parameter, the number of iterations of the algorithm are used to address the optimization problem. This method well estimates the recovered image, but the residual image is a poorly deblurred image and it exhibits structured artifacts that are not spectrally white. Now in the proposed criterion, the same procedure mentioned above is repeated and the regularization parameter is chosen and the algorithm is decided to stop at the best Signal to Noise Ratio (SNR). Tests will be performed on monochrome and color images with various synthetic and real life degradations to get better results.

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DWT Based Pan-sharpening of Low Resolution Multispectral Satellite Images

Vol.1  No.2

Year : 2014

Issue : Apr-Jun

Title : DWT Based Pan-sharpening of Low Resolution Multispectral Satellite Images

Author Name : mamathasashi, M.V.Lakshmaiah , V. Sumalatha , S.Varadarajan

Synopsis :

In this paper, a technique for enhancing the low resolution multi spectral image using Discrete Wavelet Transform (DWT) is proposed with the help of the corresponding high resolution panchromatic image. Image fusion, also called pansharpening, is a technique used to integrate the geometric detail of a high-resolution panchromatic (PAN) image and the color information of a low-resolution Multi spectral (MS) image to produce a high-resolution MS image. Remote Sensing systems, particularly those deployed on satellites, provide a redundant and consistent view of the Earth. In order to meet the requirements of different remote sensing applications, the systems offer a wide range of spectral, spatial radiometric and temporal resolutions. In general, sensors characterized with high spectral resolution, do not have an optimal spatial resolution, which may be inadequate to specific task identification in spite of its good spectral resolution. In panchromatic image with high spatial resolution, detailed geometric features can be easily recognized, while the multispectral images contain richer spectral information.

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Detection of Tumor objects for color based images using k-means

Vol.1  No.2

Year : 2014

Issue : Apr-Jun

Title : Detection of Tumor objects for color based images using k-means

Author Name : geethanjali veerapalli, Reddy PVN

Synopsis :

The brain is a highly dedicated organ. It serves as the control center for body functions. Words, events, thoughts, and feelings are centered in the brain. Each part of the brain has a specific, important function, often a great key function, and each part contributes to the healthy functioning of our body. The position of tumors in the brain shows its effect on individual's functioning and the symptoms caused by tumor. A color based segmentation technique that uses the kmeans clustering method is proposed to track the tumor objects in the Magnetic Resonance (MR) brain images. The key perception in color-based segmentation algorithm with K-means is to convert a given gray-level MR image into a color space image. Then the position of tumor objects is separated from other items of an MR image by using K-means clustering and histogram-clustering. In this paper, the K-means clustering algorithm is used for image segmentation and detecting the tumor objects that are found in the MR brain image.

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Detection Of Changes In Multi-Temporal Images Using Undecimated Discrete Wavelet Transform And Active Contours

Vol.1  No.2

Year : 2014

Issue : Apr-Jun

Title : Detection Of Changes In Multi-Temporal Images Using Undecimated Discrete Wavelet Transform And Active Contours

Author Name : hemanth kuamr, Meenakshi V, milindapurna

Synopsis :

In this paper, an unsupervised change detection method is proposed for satellite images and optical images. The multitemporal data and two discriminate areas of the land covers are changed between different time instances due to its robustness in opposition to noise. The UDWT is exploited to obtain a multi-resolution representation of the difference image which are taken from two satellite images acquired from the same geographical area but at different time instances. For multi-resolution representation of the difference image, a region-based active contour model is applied, then it is segmented into unchanged and changed regions. The proposed change detection method has been conducted based on the optical images. The extensive model results show that, the proposed change detection method constantly gives a better performance.

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Emotional Face Recognition System For Decision Making Based On Statistical Features Of Q-Matrix

Vol.1  No.2

Year : 2014

Issue : Apr-Jun

Title : Emotional Face Recognition System For Decision Making Based On Statistical Features Of Q-Matrix

Author Name : C. NagaRaju, SharadMani , Vijay kumar , Shoba Bindu C

Synopsis :

Human emotions play an important role in decision making. Facial expression is natural and one of the most powerful immediate means for human beings to communicate their emotions and intentions. The face can express emotion sooner than people verbalize their feelings.As technology is advancing, the demand of face emotions recognition is increasing day by day for decision making. In past years, many researchers had introduced different techniques and different algorithms for accurate and reliable face emotion recognition. One key step in facial expression recognition is to extract the low dimensional discriminative features before the feature data are fed into classifier for emotions. In this paper, the authors have presented a new method of facial expression recognition based on statistical parameters of Qmatrix. The problem addressed here is to determine which features optimize classification rate so that, such features may be used in the evaluation of statistical features for face emotion recognition. The Q-matrix is much better than that of the remaining matrix methods, because it considers all possible neighbors of elements at once. The experimental results also demonstrate significant performance improvements due to the consideration of facial movement features and promising performance under face registration errors.

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Performance Analysis Of Digital Image Watermarking

Vol.1  No.1

Year : 2014

Issue : Jan-Mar

Title : Performance Analysis Of Digital Image Watermarking

Author Name : PARVATHAVARTHINI. S, SHANTHAKUMARI.R

Synopsis :

An adaptive visible/invisible watermarking scheme is done to prevent the privacy and preserving copyright protection of digital data using Hadamard transform based on the scaling factor of the image. The value of scaling factor depends on the control parameter. The scaling factor is calculated to embed the watermark. Depending upon the control parameter, the visible and invisible watermarking is determined. The proposed Hadamard Transform Domain Method is more robust again image/signal processing attacks. Furthermore, it also shows that the proposed method confirm the efficiency through various performance analysis and experimental results.

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Efficient Image Compression Technique Based on Seam Identification

Vol.1  No.1

Year : 2014

Issue : Jan-Mar

Title : Efficient Image Compression Technique Based on Seam Identification

Author Name : T.VIGNESWAREN, Pandian Ramanathan

Synopsis :

The work presented in this paper addresses the increasing demand of visual signal delivery to terminals with arbitrary resolutions, without heavy computational burden to the receiving end. In this paper, the principle of Seam Carving is incorporated into a wavelet codec (i.e., SPIHT). For each input image, block-based seam energy map is generated in the pixel domain and the curvelet transform is performed for the retargeted image. Different from the conventional wavelet-based coding schemes, curvelet coefficients here are grouped and encoded according to the resultant seam energy map. The bit stream is then transmitted in energy in descending order. At the decoder side, the end user has the ultimate choice for the spatial scalability without the need to examine the visual content; and an image with arbitrary aspect ratio can be reconstructed. The simulation result proved that the proposal technique give better results compared to wavelet based image compression.

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Binary Image Enhancement using PAI Model for Noise Suppression in Spatial Domain

Vol.1  No.1

Year : 2014

Issue : Jan-Mar

Title : Binary Image Enhancement using PAI Model for Noise Suppression in Spatial Domain

Author Name : Irala Suneetha, T.VENKATESWARLU

Synopsis :

The main objective of binary image enhancement is to process a binary image so that result is more suitable for specific application. While processing images, noise corrupts due to sensing of images sensed by malfunctioning cameras, image storage in faulty memory locations and image transmission via noisy channels. Binary images are useful for some applications as they need less memory for storage, less bandwidth for transmission and less computational time for processing. Hence it is necessary to suppress noise in noisy images to extract the necessary details. This paper proposes binary image enhancement technique using a parameterized adaptive iterative model in spatial domain. The type of noise considered is salt and pepper noise. Performance of the proposed method can be measured via subjective results like input-output images and objective like peak signal to noise ratio.

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A Survey on Automatic Assessment of Diabetic Retinopathy

Vol.1  No.1

Year : 2014

Issue : Jan-Mar

Title : A Survey on Automatic Assessment of Diabetic Retinopathy

Author Name : Ramya, P.SINTHIYA

Synopsis :

Recently, there has been many researches on the fundus image for the detection of abnormality. Diabetic Retinopathy (DR) is the damage of retina caused by complication of diabetes, which results in complete vision loss. Macula is responsible for the pinpoint vision. Diabetic Macular Edema (DME) is the major problem for the diabetic patients. Several techniques have been reported about an automated solution for the diabetic macular edema detection. This paper outlines the various methods for the detection of macular edema. The normal retinal images are trained with different classifiers for the classification of abnormality. Our survey describes the different classifiers and algorithms to identify the normal and abnormal cases from the fundus images. It motivates further for future development.

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Comparative Evaluation Of Image Watermarking Method In Health Care

Vol.1  No.1

Year : 2014

Issue : Jan-Mar

Title : Comparative Evaluation Of Image Watermarking Method In Health Care

Author Name : ritu agrawal, Manisha Sharma

Synopsis :

Medical image watermarking has become an important research area in the field of data security and confidentiality as patient's medical records are linked to open environment for further diagnosis and long term storage. Confidentiality of patient's data can be achieved by hiding Electronic Patient's Record (EPR) data in corresponding medical images, thus saving storage space and bandwidth requirement at the time of transmission. However, medical images require extreme care when embedding additional data within them because the additional information must not affect the image quality and readability. This paper makes a review of twenty five different watermarking algorithms for medical images in terms of patient information hiding scheme as well as to protect medical images from any unauthorized access. The objective of this paper is to conduct a research on medical image applications and advantages and also, discuss the performance analysis of described medical image watermarking methods in terms of PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error).

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