Use of an adaptive 3D-DCT scheme for coding multiview stereo images

Sgouros, N.; Athineos, Spyros S.; Mardaki, P.E.; Sarantidou, A.P.; Sangriotis, M.S.; Papageorgas, Panagiotis; Theofanous, N.

doi:10.1109/isspit.2005.1577092

Cited by 13 publications

(8 citation statements)

References 7 publications

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“…Video Compression and decompression is important for many 3-D applications as mentioned earlier to develop high speed algorithm which has been implemented in literature [4][5][6][7][8][9][10][11][12][13]. As literature survey on 3D-DCT of 3D blocks by different motion estimation performed on each frame of 8*8*8 which can be used as application of High Definition Television (HDTV).…”

Section: Literature Review On 3d Dct/idctmentioning

confidence: 99%

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High Throughput CORDIC Architecture Based 3D-DCT/IDCT Processor

Masram¹,

Karule²

2019

IJITEE

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In this paper, 8x8x8 3D-DCT/IDCT processor based on CORDIC architecture for high data rate of image processing and video coding with reduced hardware has been presented. It uses two stages of CORDIC DCT processor i.e. one is 1D-DCT and another one is 2D-DCT processor based on fully pipelined unfolded CORDIC architecture with RAM buffer. The one-dimensional DCT is useful in processing of speech waveforms. For images and video signal processing, we need a 3D version of the DCT/IDCT data, especially in coding for compression and decompression, for its best performance. This processor performs both the DCT and IDCT simultaneously with the help of CORDIC algorithm of both 3D-DCT and IDCT which has boost the speed of the processor. Ease the use of less computation based unfolded CORDIC architecture in the processor reduces complexity and power consumption. With the working frequency approximately 414 MHz less power dissipation, low latency and high throughput can be obtained. The processor has been implemented on Xilinx ISE 14.7 and design is simulated in DE-2 board. This processor has not only reduces the complication but also increases the speed which lead to broad use in image and video processing

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Section: Literature Review On 3d Dct/idctmentioning

confidence: 99%

“…The image compression technique has been identified as a milestone in recent years. [10][11][12][13]. Efficient VLSI based CORDIC architectures is very much admired as best design using 2 stage DCT [14].…”

Section: Literature Review On 3d Dct/idctmentioning

confidence: 99%

High Throughput CORDIC Architecture Based 3D-DCT/IDCT Processor

Masram¹,

Karule²

2019

IJITEE

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“…In this paper, we mainly consider 8×8×8 DCT which is widely used in many 3D DCT video coding. If we define ) as the pixel value, 7, the DCT coefficient ( ), 7, is computed by…”

Section: A Analysis Of Zero-quantized 3-d Dct Coefficientsmentioning

confidence: 99%

“…These proposed approaches can reduce the correlations more effectively by using the scene change detector [6], threshold for different local activity [7]- [8] and multiple description method [9]. The latest results [10] indicate that 3-D DCT coding outperforms MPEG-2 while is slightly worse than MPEG-4 at high bit rates.…”

Section: Introductionmentioning

confidence: 99%

Modeling of 3-D DCT coefficients for fast video encoding

Takala

Gabbouj

et al. 2008

2008 3rd International Symposium on Communications, Control and Signal Processing

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-The discrete cosine transform (DCT) plays a key role in image/video coding due to its powerful energy concentration ability. On the other hand, since many DCT coefficients will be quantized to zeros, a huge number of redundant computations are introduced. This paper proposes an analytical model to predict the zero-quantized DCT (ZQDCT) coefficients for fast 3-D DCT based video encoding. The theoretical analysis is first performed to study the sufficient condition under which each DCT coefficient becomes zero. Then, the threshold for each ZQDCT coefficient is mathematically determined. Finally the transform and quantization operations of the predicted ZQDCT coefficients are omitted. We show, by the experimental results, that the proposed model can significantly reduce the redundant computations and achieve better real-time performance than the original encoder without any quality degradation. Computational reduction also implies longer battery lifetime and energy economy for digital applications.Keywords-discrete cosine transform (DCT); quantization; video coding; computational complexity I .I NTRODUCTIONAs an alternative approach to motion compensation in video coding standards (e.g., MPEG-1/2/4 and H.261/3), three-dimensional (3-D) DCT has been investigated by many researchers. The main advantage of 3-D DCT is the low computational complexity. This is very important for many real-time applications and digital devices as they are still suffering most from the restriction of battery lifetime. Although there is significant research in reducing the computations for H.264 and [1]-[5], the complexity is still far from the requirements of most portable devices. Therefore, there is a great need now to develop sufficient 3-D DCT algorithms for such applications.Previously, the efforts to advance the 3-D DCT algorithms are mainly focused on the improvement of coding efficiency. These proposed approaches can reduce the correlations more effectively by using the scene change detector [6], threshold for different local activity [7]- [8] and multiple description method [9]. The latest results [10] indicate that 3-D DCT coding outperforms MPEG-2 while is slightly worse than MPEG-4 at high bit rates.Although 3-D DCT coding is much superior to H.264 and MPEG-4 in terms of computational complexity, it is still desired to further reduce the computations without visual quality degradation. As the most complex part, threedimensional DCT transform consumes more than half of the computation in 3-D DCT encoding while a large number of transformed coefficients will be finally quantized to zeros. Thus, if we can reduce these redundant computations, the encoding process will be much faster. This also implies longer battery lifetime for portable digital applications.In this paper, we propose an analytical model to skip redundant DCT and quantization without visual quality degradation through a theoretical analysis on the dynamic range of DCT coefficients. Although the proposed model is implemented based on the baseline 3-D DCT ...

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“…In this work, we describe a three-dimensional discrete cosine transform (3D-DCT) [6] encoder for use in omnidirectional IP image compression. The encoder utilizes the 2D Hilbert curve [7], shown in Fig.1, to rearrange the two-dimensional (2D) elemental image lattice.…”

Section: Introductionmentioning

confidence: 99%