Hyperspectral imaging offers new opportunities for inter-person facial discrimination. However, due to the high dimensionality of hyperspectral data, discriminative feature extraction for face recognition is more challenging than 2D images. For dimensionality reduction and feature extraction most of the previous approaches just sub sampled the hyperspectral data [5, 6, 9] or used simple PCA [3]...

In this paper radix-2 algorithms for computation of type-II discrete cosine transform (DCT) and discrete sine transform (DST) of length N = 2 (n ≥ 2) are presented. The DCT/DST can be computed from two DCT/DST sequences, each of length N/2. The odd-indexed output components of DCT/DST can be realized using simple recursive relations. The proposed algorithms require a reduced number of arithmeti...

A method for efficient spatial domain filtering, directly in the discrete cosine transform (DCT) domain, is developed and proposed. It consists of using the discrete sine transform (DST) and the DCT for transform-domain processing on the in JPEG basis of the previously derived convolution-multiplication properties of discrete trigonometric transforms. The proposed scheme requires neither zero p...

Discrete Cosine Transform (DCT) is widely used in image and video compression standards. This paper presents low-power co-ordinate rotation digital computer (CORDIC) based reconfigurable discrete cosine transform (DCT) architecture. All the computations in DCT are not equally important in generating the frequency domain output. Considering the important difference in the DCT co-efficient the nu...

Low-power design is one of the most important challenges to maximize battery life in portable devices and to save the energy during system operation. Discrete Cosine Transform (DCT) is widely used in image and video compression standards. In this paper, we review on a low-power DCT (Discrete Cosine Transform) architecture using varies techniques. Discrete Cosine Transform (DCT) is one of the mo...

The two-dimensional discrete cosine transform (DCT) can be found in the heart of many image compression algorithms. Specifically, the JPEG format uses a lossy form of compression based on that transform. Since the standardization of the JPEG, many other transforms become practical in lossy data compression. This article aims to analyze the use of these transforms as the DCT replacement in the J...

Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT do...

A method is presented for the compression of biomedical images using in place of the discrete cosine transform (DCT) the discrete orthogonal Gauss-Hermite transform (DOGHT). The latter expands the signals on a basis of Gauss-Hermite functions instead of the cosine functions and leads, in many practical cases, to 2-3 times better compression for the same reconstruction error as the DCT. This is ...

Discrete Cosine Transform (DCT) is an important transform of particular interest in still image compression and compression of individual video frames, while multidimensional DCT is mostly used for compression of video streams and volume spaces. An FPGA implementation of a Polynomial Transform DCT (PTDCT) algorithm, recently proposed by Zeng et al. [10], is presented. The regularity of Zeng’s a...

Image Compression is a method, which reduces the size of the data to reduce the amount of space required to store the data. The Discrete cosine transform (DCT) is a method for transforms a signal or image from spatial domain to frequency component. It is a widely used technique in image compression. In this paper, we present a lossless discrete cosine transform (DCT) compression technique for t...