We evaluate two schemes for significance switching of DCT coefficients for block-based embedded DCT image compression. Both schemes deliver their best compression at any PSNR or vice versa, within a data stream that can be terminated within a few bits of any point. An image is partitioned into equal sized blocks, and a fixed point DCT of each block is calculated. The coefficients are then passe...

This paper provides comparison between two image compression technique such as DCT and DWT. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the most commonly used transformation. DCT has high energy compaction property and requires less computational resources. On the other hand, DWT is multi-resolution transformation. PSNR and Compression ratio are one of the parameter...

This work considers the efficient coding of hyperspectral images. The shape-adaptive DCT is extended to the three-dimensional case. Both the 3D-SA-DCT and the conventional 3D-DCT are combined with either of two alternative techniques for coding the transform coefficients. The proposed schemes are compared with two state of the art coding algorithms, which serve as benchmarks, and are found to h...

In this paper, a new method to achieve lossless compression of two-dimensional images based on the discrete cosine transform (DCT) is proposed. This method quantizes the high energy DCT coeecients in each block, nds an inverse DCT from only these quantized coeecients, and forms an error residual sequence to be coded. Furthermore, a simple delta modulation scheme is performed on the coeecients t...

Abstract DCT (Discrete Cosine Transforms) and IDCT (Inverse Discrete Cosine Transforms) are widely used for digital signal and image processing. Computational efficiency of DCT and IDCT dominate the performance of processing. How to improve computational efficiency is still an interesting topic for many researchers. In this study, the multiple-level resolution DCT in which the subband decomposi...

This paper illustrates the advantages of Discrete Cosine Transform (DCT) when it is used in Block least mean square (BLMS) adaptive filter. DCT provides very good energy compaction in speech signals, image signals. So the signal to noise (SNR) is improved. Noise cancellation, Echo cancellation, System identification are the application of adaptive filter. We have proposed the Noise cancellation...

A low bit rate video coding technique that uses spatio-temporal geometric transforms is presented. Motion compensation based on the bilinear transform is employed to reduce the temporal redundancy of the video. The spatial redundancy of the motion compensated error images is reduced by a combination of Fractal and DCT. It is shown that in the objects boundaries of the motion compensated error i...

In this study, a clustering algorithm that uses DCT transformed data is presented. The algorithm is a grid density-based clustering algorithm that can identify clusters of arbitrary shape. Streaming data are transformed and reconstructed as needed for clustering. Experimental results show that DCT is able to approximate a data distribution efficiently using only a small number of coefficients a...

Abstract: This paper provides compression of a filtered Image using DISCRETE COSINE TRANSFORM (DCT) and the comparison of PSNR-value between an original Image and noisy Image. Parameters of a given image are Compression Ratio, Number of pixels, Quantization bits per pixel, Frame rate and Correlation between adjacent samples (Φ).These parameters defines the Quality of an image. DCT is better tec...

This research paper presents a proposed method for the compression of medical images using hybrid compression technique (DWT, DCT and Huffman coding). The objective of this hybrid scheme is to achieve higher compression rates by first applying DWT and DCT on individual components RGB. After applying this image is quantized to calculate probability index for each unique quantity so as to find ou...