Digital cameras to reduce cost, use an image sensor to capture color images. Color Filter Array (CFA) in digital cameras permits only one of the three primary (red-green-blue) colors to be sensed in a pixel and interpolates the two missing components through a method named demosaicking. Captured data is interpolated into a full color image and compressed in applications. Color interpolation bef...

An ideal image compression technique for image data archival, retrieval and distribution would be one with the asymmetrical computational requirements of Vector Quantization (VQ), but without the complications arising from VQ codebooks. Codebook generation and maintenance are stumbling blocks •which have limited the use of VQ as a practical image compression algorithm. Model-based YQ (MVQ), a v...

A new classifier is presented for text-independent speaker recognition. The new classifier is called the modified neural tree network (MNTN). The NTN is a hierarchical classifier that combines the properties of decision trees and feed-forward neural networks. The MNTN differs from the standard NTN in that a new learning rule based on discriminant learning is used, which minimizes the classifica...

A fast and efficient image search method is developed for a compressed image database using vector quantization (VQ). An image search on an image database requires an exhaustive sequential scan of all the images, given the similarity measure. If compressed images are dealt with, images are decompressed as an initial operation and then the previously mentioned exhaustive search is performed usin...

Vector quantization (VQ) is a widely used matching algorithm for text-independent speaker recognition. In this paper we study the use of text-dependent speaker recognition in practical access control application. We compared dynamic time warping (DTW) to VQ-based matching using textdependent pass phrases. Our goal was to find out, how fixed phrase affects speaker recognition performance. We col...

Frequently, it is observed that the sequence of indexes generated by a vector quantizer (VQ) contains a high degree of correlation, and, therefore, can be further compressed using lossless data compression techniques. In this paper, we address the problem of codebook reordering regarding the compression of the image of VQ indexes by general purpose lossless image coding methods, such as JPEG-LS...

In this paper, we propose a simple and efficient reversible information-hiding scheme for VQ index tables. One secret bit can be embedded into one index pair if this pair passes the predefined restriction. Even if the index pair does not pass the test, it can still carry one secret bit if an additional indicator (a preserved index value) is attached. The experimental results show that our propo...

A novel image coding scheme based on vector quantization (VQ) is proposed in this paper. The goal of the proposed scheme is to provide better image qualities of the compressed grayscale images while keeping low bit rates. To achieve the goal, the encoding of the inverse image block is cooperated with the VQ scheme. In addition, the lossless index coding process is employed in the proposed schem...

Vector quantization (VQ) is a efficient technique for data compression with a minimum distortion. VQ is widely used in applications as speech and image coding, speech recognition, and image retrieval. This paper presents a novel fast nearestneighbor algorithm and shows its application to speech recognition. The proposed algorithm is based on a fast preselection that reduces the search to a limi...