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Face recognition is a biometric analysis tool that has enabled surveillance systems to detect humans and recognize humans without their co-operation. In this scheme face recognition is done by Principal Component Analysis (PCA). Face images are projected onto a face space that encodes best variation among known face images. The face space is defined by eigenface which are eigenvectors of the set of...
In this paper, we propose Hybrid DCT-VQ a lossy image compression technique based on Vector Quantization (VQ). In the proposed technique, we use the concept of energy compaction property of DCT to reduce the computational cost of codebook and to speed up the VQ process. This method is tested on set of standard test images for different sub-block sizes. The experimental simulation results infer some...
Codebook generation plays an important role in Vector Quantization (VQ) such that the distortion between the original image and the reconstructed image need to be minimum. The paper presents an effective clustering algorithm to generate codebook for vector quantization. In Kekre's Error Vector Rotation (KEVR) while splitting the cluster every time new orientation is introduced using error vector sequence...
H.264, which is the most advanced video compression standard till date, includes novel algorithms for quantization and inverse quantization processes. In this paper, a new hardware architecture exclusively based on combinational logic is proposed for the quantizer and inverse quantizer blocks for real-time video processing. Implemented in Xilinx14.1, Virtex-5 technology, the proposed architectures...
This paper possess the fuzzy segmented based performance analysis for the reconstruction of a non linear PET Liver image using fuzzy logic controlled Maximum Likelihood Expectation Maximization (MLEM). The various types of iteration method used are MAP, MLEM and OSEM. MLEM, an iteration approach, has more advantage for reconstructing the Positron Emission Tomography (PET) when comparing with the analytical...
Reconstruction of fragmented pieces is essential in archaeology, art conservation, and forensics. Digital automation in reconstruction reduces time complexity and yields interesting results. Questioned forensic documents can be machine-torn or hand-torn. Apictorial reconstruction of hand torn questioned document concentrates only on the shape of fragments and the algorithmic approach of Apictorial...
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