New 3-D wavelet transform coding algorithm for image sequences

Goh, Kwong Huang; Soraghan, John J.; Durrani, T.S.

doi:10.1049/el:19930269

Cited by 21 publications

(10 citation statements)

References 1 publication

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“…In the time domain, the coefficients are coded if the corresponding coefficient in the higher temporal octave is nonzero. Goh, Soranghan, Durrani used a similar method to perform 3D wavelet transform but combined simultaneous spatial and temporal domain predictions, as opposed to Lewis and Knowles' prediction method applied separately on the spatial and temporal domain [2]. They claim that this approach is less sensitive to threshold setting.…”

Section: Wavelet Based Video Codingmentioning

confidence: 96%

“…Our 3D-wavelet transformation was different from [3] and [2] because these algorithms first perform multi-level 2D wavelet transform in the spatial dimension followed by 1D multilevel wavelet transform in the time dimension. In our implementation, each level of decomposition consists of spatial dimension transform followed by time dimension transform.…”

Section: The 3d-wavelet Transformationmentioning

confidence: 99%

“…For the human visual system (HVS), the intensity at high spatial frequency is less important than that in low spatial frequency [2]. Therefore, logarithmic steps (base e) is used in quantizing the coefficients.…”

Section: Quantization and Codingmentioning

confidence: 99%

See 2 more Smart Citations

Performance measurement for a wavelet transform-based video compression

Dhungel

Weeks

2011

Proceedings of the 49th Annual Southeast Regional Conference

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A wavelet transform-based video compression algorithm consists of i) 3D wavelet transform ii) Quantization, and iii) Coding. Since wavelet analysis has similarities with characteristics of human visual system, it is desirable to use a quality metric that agrees with human perceptual evaluation. One of the widely used quality metric for the reconstructed image and video is the peak signal to noise ratio (PSNR). The disadvantage of PSNR is that the result does not correlate very well with subjective or human evaluation of the perceived quality. The Structural Similarity (SSIM) is a quality metric that quantifies quality based on the changes on the structural information variation of the image due to error signal rather than the visibility of the error signal and performs better than PSNR in terms of perceptual correlation with human observer [17]. This paper describes an implementation of a 3D wavelet transform-based video compression model and a new video quality metric which is an extension of the SSIM to the third dimension. Experiments show that the new metric is perceptually more accurate than the PSNR for measuring video quality.

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Section: Wavelet Based Video Codingmentioning

confidence: 96%

Section: The 3d-wavelet Transformationmentioning

confidence: 99%

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Performance measurement for a wavelet transform-based video compression

Dhungel

Weeks

2011

Proceedings of the 49th Annual Southeast Regional Conference

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“…Some research workers have proposed several improved algorithms later [4] [5]. In general, the traditional 3D-WT algorithms perform temporal and spatial decomposition by wavelet transform into all frames of input sequence, which is on the basis of a GOF (Group of Frames).…”

Section: Introductionmentioning

confidence: 99%

A New Video Coding Based on 3D Wavelet Transform

Man¹,

Wu²,

Shi-biao³

et al. 2006

Sixth International Conference on Intelligent Systems Design and Applications

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In recent years, wavelet-based video coding schemes have attracted considerable attention in the image coding community. In this paper, a new algorithm of three-dimensional wavelet transform (3D-WT) for video coding is presented. The main difference between it and the traditional 3D-WT algorithm is temporal decomposition. The proposed algorithm performs the temporal decomposition of a video sequence in a more efficient way, which is on the basis of several groups separated from the original video sequence. The requirements of processing memory for the proposed algorithm is also analyzed and compared with that of the traditional algorithm. Experimental results show that the proposed algorithm exhibits lower memory demands and better performance of video coding than the traditional 3D-WT algorithm.

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“…On the other hand, rate-distortion efficient 3-D algorithms exist which are able to capture temporal redundancies in a more natural way (see e.g. [38,49,60, 911 for 3-D wavelethubband coding). Unfortunately, these 3-D algorithms often show prohibitive computational and memory demands (especially for real-time applications).…”

Section: Parallel Spihtmentioning

confidence: 99%