This paper presents new schemes to reduce the computation of Discrete Cosine Transform (DCT) with negligible peak signal-to-noise ratio (PSNR) degradation. The methods can be used in the software implementation of current video standard encoders; for example, H.26x and MPEG. We investigated the relationship between the quantization parameters and the position of the last nonzero DCT coefficient...

In this paper, we propose FPGA-based scalable architecture for DCT computation using dynamic partial reconfiguration. Our architecture can achieve quality scalability using dynamic partial reconfiguration. This is important for some critical applications that need continuous hardware servicing. Our scalable architecture has two features. First, the architecture can perform DCT computations for ...

previously published scalar quantization algorithm [3], This paper presents a novel error-free (infinite-precision) architecture for the fast implementation of both 2-D Discrete Cosine Transform and Inverse DCT. The architecture uses a new algebraic integer quantization of a 1-D radix-8 DCT that allows the separable computation of a 2D DCT without any intermediate number representation conversi...

In this paper, comparison of three Video compression techniques i.e. Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Hybrid is done. DCT is applied to Rows, Columns and Rows*Columns separately to frames in a video with compression factor of 2, 4 and 8, whereas Discrete Wavelet Transform(DWT) is applied till 2 level of DWT decomposition and Hybrid-1 combining DCT and DWT 1 ...

The Discrete Cosine Transform (DCT) is widely used in lossy image and video compression schemes, e.g., JPEG and MPEG. In this paper, we show that the compression efficiency of the DCT is dependent on the edge directions within a block. In particular, higher compression ratios are achieved when edges are aligned with the image axes. To maximize compression for general images, we propose a rotate...

Image fusion fuses the information from several images of one scene to obtain a precise, complete and reliable image which is more appropriate for human visual perception or additional vision processing. The quality of an image is closely related to image focus. The discrete cosine transforms (DCT) based methods of image fusion are more suitable and time-saving in real-time systems using DCT ba...

bstract. We propose novel matrix-form representations of the onventional forward three-dimensional (3-D) discrete cosine transorm (DCT) and the inverse 3-D DCT. The pair of the computationlly efficient 3-D DCTs causes the formulation to be more concise ith a systematic structure, which has a high potential for the develpment of other applications via the 3-D DCT pair. Applications for nlargemen...

The wide deployment of MPEG-2 video for digital video applications today and the expected use of the recently standardized H.264 video create a strong need for video transcoding between these formats. One of the key problems in video transcoding is complexity reduction. In this paper we present tools to enable low complexity transcoding of MPEG-2 video to the H.264 format. The proposed transcod...

Abstract. Image compression methods such as JPEG use quantisation of discrete cosine transform (DCT) coefficients of image blocks to produce lossy compression. During decoding, an inverse DCT of the quantised values is used to obtain the lossy image. These methods suffer from blocky effects from the region boundaries, and can produce poor representations of regions containing sharp edges. Such ...

In this paper, a novel contrast enhancement technique for contrast enhancement of a low-contrast satellite image has been proposed based on the singular value decomposition (SVD) and discrete cosine transform (DCT). The singular value matrix represents the intensity information of the given image and any change on the singular values change the intensity of the input image. The proposed techniq...