Low-Complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform

Oliveira, Paulo A. M.; Cintra, Renato J.; Bayer, Fábio M.; Kulasekera, Sunera; Madanayake, Arjuna

doi:10.1109/tcsvt.2016.2515378

Cited by 51 publications

(23 citation statements)

References 59 publications

(138 reference statements)

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“…The third is DTT and DCT using orthogonal basis. Where in the lowest frequency base image there will be a top left corner or coordinates (0,0) and the highest frequency is in the lower left corner or coordinates (7,7) [21,26,27,29].…”

Section: Similarities Of Dtt and Dct Proposed Methodsmentioning

confidence: 99%

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Image watermarking using discrete wavelet-tchebichef transform

Setyono

Setiadi

2019

IJEECS

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<span>Image watermarking is one of the most popular techniques for authenticating copyright on the digital image. Many research on image watermarking has proved that the joint of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) combinations can improve both imperceptibility and robustness when compared to DCT or DWT only. Discrete Tchebichef Transform (DTT) denotes an alternative transformation that has a similarity property with DCT. DTT has an advantage in reducing memory requirements during computing, so the calculation speed is much faster than DCT. This study tested the performance of DTT and DCT on non-blind image watermarking method, where DTT and DCT are performed after DWT. Based on the experimental results, this research proved that the DTT was combined successfully with DWT and very potential for further investigation because it has a computing performance much better than DCT. While the image watermarking quality, both the imperceptibility and robustness aspects were completely identical with the combination of DCT and DWT transformation.</span>

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Section: Similarities Of Dtt and Dct Proposed Methodsmentioning

confidence: 99%

“…DTT is a transformation that can be used as an alternative to DCT. DTT has an advantage in reducing code complexity and memory requirements for computation, thus speeding up the transformation calculation process [21][22][23], besides many similarities property with the DCT [9,24]. DTT can also be implemented in image watermarking [25].…”

Section: Introductionmentioning

confidence: 99%

Image watermarking using discrete wavelet-tchebichef transform

Setyono

Setiadi

2019

IJEECS

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“…energy compactness, separability, orthogonality, and even symmetry [27]. But DTT has advantages in low complexity, reduce memory and faster computation than DCT [16,28,29]. The many similarities between DCT and DTT make DTT can be used as an alternative to DCT in its use in digital image processing.…”

Section: Discrete Tchebichef Transform (Dtt)mentioning

confidence: 99%

An Image Watermarking Method Using Discrete Tchebichef Transform and Singular Value Decomposition Based on Chaos Embedding

Setyono¹,

Setiadi²

2020

IJIES

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A good watermarking method should be robust against attacks but have good visual quality. This research proposes a combination of two transformations i.e. Tchebichef and singular value decomposition (SVD). Arnold's algorithm is also integrated to improve the security of the watermark and visual quality of the watermarked image. Arnold's transformation was carried out on the cover image with the aim to spread watermark. Furthermore, the cover image is divided into small blocks and transformed using Tchebichef. The lowest coefficient of each Tchebichef block is collected in a matrix for decomposition with SVD, then the watermark is embedded in the singular matrix. Based on the results of testing the proposed method can have excellent visual quality with PSNR values ranging from 45dB and SSIM averaging 0.998. The proposed method is also robust to various attacks such as filtering, noise addition, geometry, and signal processing.

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“…Less computational difficulties have been provided in the HEVC using 8-point DCT approximation, because it requires only 14 additions without multiplications. For an effective compression, a low complexity orthogonal 8-point Discrete Tchebichef Transform (DTT) has been introduced while processing the video, and this DTT used in both forward and near inverse transformations [5]. A Distributed MVC (DMVC) method introduced for encoding the MV video.…”

Section: Introductionmentioning

confidence: 99%

Low Power FPGA Implementation of Multi-View Video Coding with Hybrid Compression and Decompression Algorithm

Rahimunnisha

Sudhavani²

2020

IJEAT

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The video is one of the most useful and most appealing medium to represent some information. More usage of digital multi-media via communications media, wireless communications, intranet, internet and cellular mobile leads to the uncontrollable growth of data in media. The video compression technique is used in this research work to improve the processing speed of the entire system. In this work, Low Cost - Multi Video Coding - Hybrid Compression and Decompression (LC-MVC-HCD) method is used to reduce computation complexity. The combinational of Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) algorithms are denoted as hybrid algorithm. Based on this hybrid algorithm, the compression process is performing which improves the video coding efficiency of MVC. The LC-MVC-HCD methodwas implemented in the Matlab, Xilinx and Cadence tool. In Application Specific Integrated Circuit (ASIC) implementation, the area, power, and delay minimized by using the cadence encounter tool with 180nm and 45nm technology. In Field Programmable Gate Array (FPGA) implementation, the number of Lookup Tables (LUTs), slice, and flip-flop are minimized based on two different kinds of Virtex devices such as Virtex -6 and Virtex-7. In Matlab, Peak Signal to Noise Ratio (PSNR), computational time and bit error rate were analyzed for the LC-MVC-HCD method. The experimental outcome showed that the proposed methodology has improved performance ASIC and FPGA up to 2-3% compared to existing methods like Direct mode decision MVC and LC-MVC-DWT.

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Low-Complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform

Cited by 51 publications

References 59 publications

Image watermarking using discrete wavelet-tchebichef transform

Image watermarking using discrete wavelet-tchebichef transform

An Image Watermarking Method Using Discrete Tchebichef Transform and Singular Value Decomposition Based on Chaos Embedding

Low Power FPGA Implementation of Multi-View Video Coding with Hybrid Compression and Decompression Algorithm

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