This paper presents a hybrid blind watermarking technique for color images based on DCT in wavelet transform. Advantages of two powerful transforms namely DCT and DWT are combined. Carrier image is first decomposed into 3 channels, namely R, G, B. Harr DWT is applied to Blue channel and HH band is selected for watermark insertion. HH band is divided into blocks of size 8×8. DCT is applied to ea...

Post-processing of PIV (particle image velocimetry) data typically contains three following stages: validation of the raw data, replacement of spurious and missing vectors, and some smoothing. A robust post-processing technique that carries out these steps simultaneously is proposed. The new all-in-one method (DCT-PLS), based on a penalized least squares approach (PLS), combines the use of the ...

This paper describes architecture of DCT and DWT standard of an image compression. It is used specially for the compression of images where tolerable degradation is required. The discrete cosine transform is a fast transform and has fixed basis images which gives good compromise between information packing ability and computational complexity. DWT can be used to reduce the image size without lo...

In H.264/AVC [1], integer transforms are applied instead of the 8×8 discrete cosine transform (DCT) of previous standards to avoid inverse transform mismatch problems. However, these transforms make it difficult to transcode the precoded video contents with the earlier video coding standards into H.264/AVC in DCT-domain, thus causing cascaded re-encoding in the pixel-domain. There are strong re...

One of the major drawbacks of the appearance-based face recognition methods is that they fail to work for face recognition from single sample per person (SSPP). In this paper, a new face recognition method based on the discriminative Multimanifold analysis (DMMA) in DCT domain is proposed to address the SSPP problem. For this goal DMMA algorithm is introduced and then DMMA in DCT domain is prop...

Texture can be considered as a repeating pattern of local variation of pixel intensities. In texture classification the goal is to assign an unknown sample image to a set of known texture classes. One of the difficulties in texture classification was the lack of tools that characterize textures. Classification of textures has received attention during last few decades. As DCT works on gray leve...

This paper presents a proposed technique for texture recognition which depends on the combination of Discrete Cosine Transform (DCT) with Fast Discrete Curvelet Transform (FDCvT) via Wrapping.The proposed technique includes two stages, the first stage is implemented by taking individual natural textures (wood, stone and grass) with several positions and calculation of the features vector (Mean ...

Abstract: In this study, an efficient approach for detecting zero-quantised discrete cosine transform (DCT) coefficients for video coding is developed. Compared with conventional detection methods of zero-quantised DCT coefficients used in H.264/AVC, the proposed algorithm has two major features. First, a new classification of patterns for DCT, quantisation, inverse quantisation and inverse dis...

Discrete cosine transform (DCT) is widely used in many practical image/video compression systems because of its compression performance and computational efficiency. This work adopts DCT, and modified the SPIHT algorithm that designed initially for encoding the discrete wavelet transform (DWT) coefficients in order to suit to encode DCT coefficients. The algorithm represents the DCT coefficient...

This paper deals with discrete cosine transform (DCT)-domain image resizing as compressed domain processing. Previous DCT-domain image resizing methods assume that all macroblocks are in the frame mode. In this paper, we propose an efficient method for DCT-domain image resizing with mixed field/frame-mode macroblocks. This method is developed from the investigation of the DCT-domain image resiz...