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This paper presents simpler image compression technique using vector quantization and hybrid wavelet transform. Hybrid wavelet transform is generated using Kronecker product of two different transforms. Image is converted to transform domain using hybrid wavelet transform and very few low frequency coefficients are retained to achieve good compression. Vector quantization is applied on these coefficients...
This paper proposes simple and novel image compression method using transforms. Discrete cosine Transform (DCT) and Discrete Kekre Transform (DKT) are applied on image individually. Wavelet transform of DCT and DKT is generated using Kekre's algorithm of wavelet generation. Wavelet transform gives better energy compaction than individual transform. It is reflected in reconstructed image quality of...
Real-time quality inspection of capsules manufacturing in pharmaceutical applications is an important issue from the point of view of industry productivity, competitiveness and quality aspect of the product. Pharmaceutical products are susceptible to several common flows like incorrect size or color, surface defect, missing, broken capsules. To guarantee every capsule is free of defects, each capsule...
This paper compares the retrieval performance of the CBIR system. In this system image features are extracted by means of Hartley and DFT transformed plane sectorization. Two different similarity measures named as sum of Absolute difference and the Euclidean distance are used for the matching the input image feature vectors with the feature vectors of the image database. The performances of the algorithm...
Image retrieval is useful to retrieve images from outsized image databases, which can be beneficial to plenty of image supporting applications. Colors of an image are easier for extraction. Block Truncation Coding (BTC) prominently used with many variations. This paper proposed a novel Block Truncation Coding Extended to Color Clumps for image retrieval purpose. Total of 24 variations, using four...
Image hashing is one of the techniques used to generate hash value for each image in the database. These hash values generated for images can be used for content based image retrieval, image database indexing, and image authentication, avoiding and mitigating the tampering of digital images. In the information era, the increasing availability of multimedia data in digital form has led to a tremendous...
The paper depicts the use of Multilevel Block Truncation Coding for image classification. Feature vectors are extracted with four levels of Block Truncation Coding to classify the several categories of images for performance comparison in six different color spaces for the proposed methodology. Three databases out of which two are public databases and one is a generic database are considered for the...
The paper presents image retrieval technique based on shape features extracted with the help of seven gradient masks (Robert, Sobel, Prewitt, Canny, Laplace, Frei-Chen and Kirsch) and Kekres Error Vector Rotation (KEVR) vector quantization codebook generation method technique. First shape features are extracted from image of the database using various gradient masks and slope magnitude method, to...
Extraction of region of interest (ROI) from a palmprint considerably improves the efficiency of identification systems as ROI extracted palmprint images have more entropy and require less processing and storage. In this paper we have extracted the ROI of palmprints of two sets of databases, Hongkong Polytechnic University low resolution palmprint Database and high resolution indigenous database. The...
In recent years image processing tools and techniques are gaining continuous attention and recognition due to augmented usage of still and motion images in vivid fields like medical science, engineering, mass-media and GIS. Special category of image processing technique called “Image Classification” has got pivotal position in all the above said fields. An image classifier is a system which accepts...
Image fusion combines several images of same object or scene so that the final output image contains more information. The main requirement of the fusion process is to identify the most significant features in the input images and to transfer them without loss into the fused image. This paper proposes four new techniques for image fusion using Kekre's hybrid wavelet transform techniques and compare...
In this paper, an unusual form of image registration is proposed which focuses upon using various transforms for fast and accurate image registration. Image registration is the process of transforming different sets of data into one coordinate system. The data set can be a set of photographs, data from various sensors, from different times, or from different viewpoints. The applications of image registration...
In today's world, where terrorist attacks are on the rise, employment of infallible security systems is a must. Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes Iris recognition systems unavoidable in emerging security & authentication mechanisms. We propose an iris recognition system based on vector quantization. The proposed system does...
There are various techniques using various colour spaces that can be used to colour a greyscale image such as those described in,, and. In this paper we focus on the procedure described in extended to seven different colour spaces - RGB, LUV, YCgCb, YCbCr, YUV, XYZ and YIQ. We also vary the grid (pixel window) sizes used in the aforementioned procedure and apply both the exhaustive search (ES) algorithm...
Fingerprint recognition is a widely used biometric identification mechanism. In case of correlation based fingerprint recognition detection of a consistent registration point is a crucial issue; this point can be a core point of a fingerprint. Many techniques have been proposed but success rate is highly dependent on input used and accurate core point detection is still an open issue. Here we discuss...
A technique is proposed for detection of tumor in digital mammography. We here proposed a statistical parameters such as probability and entropy based image segmentation of mammographic images. This algorithm is consists of three stages. First we compute probability of each quantization level of the image and replace every pixel by its probability to generate probability image. On this image we perform...
Vector Quantization is lossy data compression technique and has various applications. Key to Vector Quantization is good codebook. Once the codebook size is fixed then for any codebook generation algorithm the MSE reaches a value beyond which it cannot be reduced unless the codebook size is increase. In this paper we are proposing bi-level codebook generation algorithm which reduces mean squared error...
In this paper we propose fast face recognition system based on the Kekre's transform. This algorithm can be easily implemented and number of coefficients required for recognition reduces drastically compared to benchmark algorithm PCA. Thus computational burden decreases. We have compared the performance of this transform with conventional transforms like DCT, DST, Slant transform and WHT. The algorithm...
Fingerprint & Palmprint are widely used biometric traits for human identification and authentication. Fingerprint & Palmprint Recognition Systems need feature images without background; this requires segmentation of input image. In this paper we have proposed a segmentation technique which is applicable for segmentation of both fingerprint and palmprint data. A unique feature of this method...
Fingerprint orientation estimation is an important step in fingerprint pre-processing. Here we propose a new algorithm for fingerprint orientation estimation, which is based on gradient direction calculation and determining the orientation by considering the orientation of neighboring regions. This algorithm is mathematically simple and fast for real-time application. This algorithm shows performance...
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