1-D Transforms for the Motion Compensation Residual

Kamisli, Fatih; Lim, Jae S.

doi:10.1109/tip.2010.2083675

Cited by 25 publications

(18 citation statements)

References 14 publications

(34 reference statements)

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“…It is evident in the work reported in [14], [15], [17], [28], [29] that this small overhead is not likely to significantly affect the large positive gain from the better energy compaction.…”

Section: G Other Commentsmentioning

confidence: 96%

Transforms for Intra Prediction Residuals Based on Prediction Inaccuracy Modeling

Cai

Lim

2015

IEEE Trans. on Image Process.

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Abstract-In intra video coding and image coding, the directional intra prediction is used to reduce spatial redundancy. Intra prediction residuals are encoded with transforms. In this paper, we develop transforms for directional intra prediction residuals. Specifically, we observe that the directional intra prediction is most effective in smooth regions and edges with a particular direction. In the ideal case, edges can be predicted fairly accurately with an accurate prediction direction. In practice, an accurate prediction direction is hard to obtain. Based on the inaccuracy of prediction direction that arises in the design of many practical video coding systems, we can estimate the residual covariance and propose a class of transforms based on the estimated covariance function. The proposed method is evaluated by the energy compaction property. Experimental results show that with the proposed method, the same amount of energy in directional intra prediction residuals can be preserved with a significantly smaller number of transform coefficients.

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Section: G Other Commentsmentioning

confidence: 96%

Transforms for Intra Prediction Residuals Based on Prediction Inaccuracy Modeling

Cai

Lim

2015

IEEE Trans. on Image Process.

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“…This section presents empirical and statistical analyses of layer based backward compatible HDR image coding residuals. The analysis methods are similar to those used for analyzing motion-compensated prediction residuals in [12]. In particular, the characteristics of the auto-covariance of local regions of HDR coding residuals are analyzed to conclude whether directional coding methods can be applied for residue coding.…”

Section: Auto-covariance Analysis Of the Residue Framesmentioning

confidence: 99%

“…To quantify the results of the statistical analysis of HDR coding residuals, the auto-covariance of 8x8-pixel blocks of residue frame (rn) are modeled with the auto-covariance of a 2-D Markov process. We use two auto-covariance models that were proposed in [12] for similar statistical analysis. The first is a separable auto-covariance model given by…”

Section: A Utilized Auto-covariance Modelsmentioning

confidence: 99%

“…In particular, the directional codec used in our experiments is the modified H.264/AVC codec in [12]. It contains 8 1-D block transforms for 4x4 residue blocks and 16 1-D block transforms for 8x8 residue blocks.…”

Section: B Standard and Directional Coding Of The 8-bit Residuementioning

confidence: 99%

“…Although some recent studies [10], [11] design function based global mapping curves for the 8-bit conversion and uses typical codecs for residue coding, they do not consider the local characteristics of residue blocks for encoding. However, in well-studied motion compensated LDR video coding [12], [14], it is verified that the residue blocks exhibit local anisotropic characteristics, which are more efficiently compressed with directional transforms than the traditional 2-D DCT.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Statistical analysis and directional coding of layer-based HDR image coding residue

Feyiz

Kamisli

Zerman

et al. 2017

2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)

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Existing methods for layer-based backward compatible high dynamic range (HDR) image and video coding mostly focus on the rate-distortion optimization of base layer while neglecting the encoding of the residue signal in the enhancement layer. Although some recent studies handle residue coding by designing function based fixed global mapping curves for 8-bit conversion and exploiting standard codecs on the resulting 8-bit images, they do not take the local characteristics of residue blocks into account. Inspired by the local anisotropic characteristics of the residue signal and directional methods for motion compensated low dynamic range (LDR) video coding, in this paper we first investigate whether HDR image coding residue exhibits also local anisotropic characteristics. Specifically, we verify directional structures in residue blocks by means of auto-covariance analysis for different bitrates, spatial activities and dynamic ranges as the main variables in HDR image coding. Then, we compare the rate distortion performances of directional coding methods with the baseline residue coding methods in the literature along with different combinations of 8-bit conversion methods. The experiments indicate that content dependent 8-bit conversions and directional coding significantly outperforms the existing function based 8-bit conversions and typical coding for residue coding.

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Wavelet-Like Lifting-Based Transform for Decomposing Images in Accordance with the Inter-prediction Principles of Video Coding

Parfieniuk

2015

Image Analysis and Processing — ICIAP 2015

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1-D Transforms for the Motion Compensation Residual

Cited by 25 publications

References 14 publications

Transforms for Intra Prediction Residuals Based on Prediction Inaccuracy Modeling

Transforms for Intra Prediction Residuals Based on Prediction Inaccuracy Modeling

Statistical analysis and directional coding of layer-based HDR image coding residue

Wavelet-Like Lifting-Based Transform for Decomposing Images in Accordance with the Inter-prediction Principles of Video Coding

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