On lossless intra coding in HEVC with 3-tap filters

Alvar, Saeed Ranjbar; Kamisli, Fatih

doi:10.1016/j.image.2016.06.006

Cited by 7 publications

(29 citation statements)

References 24 publications

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“…Instead of using the HEVC intra prediction equations for pixel-by-pixel spatial prediction, a more general pixel-bypixel spatial prediction method based on using 3 neighboring pixels in each intra mode of HEVC is developed in [21], and the results report one of the best lossless intra coding performances within HEVC.…”

Section: B Methods Based On Pixel-by-pixel Spatial Predictionmentioning

confidence: 99%

“…While the lossless intra coding methods based on pixel-bypixel spatial prediction can provide competitive compression performance, their distinguishing feature can also be a drawback. Their pixel-based nature is not congruent with the blockbased architecture of video coding standards and introduces undesired pixel-based dependencies in the prediction architecture that can reduce throughput in the processing pipeline of video encoders and decoders [18], [21].…”

Section: B Methods Based On Pixel-by-pixel Spatial Predictionmentioning

confidence: 99%

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Lossless Image and Intra-Frame Compression With Integer-to-Integer DST

Kamisli

2019

IEEE Trans. Circuits Syst. Video Technol.

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Video coding standards are primarily designed for efficient lossy compression, but it is also desirable to support efficient lossless compression within video coding standards using small modifications to the lossy coding architecture. A simple approach is to skip transform and quantization, and simply entropy code the prediction residual. However, this approach is inefficient at compression. A more efficient and popular approach is to skip transform and quantization but also process the residual block with DPCM, along the horizontal or vertical direction, prior to entropy coding. This paper explores an alternative approach based on processing the residual block with integer-tointeger (i2i) transforms. I2i transforms can map integer pixels to integer transform coefficients without increasing the dynamic range and can be used for lossless compression. We focus on lossless intra coding and develop novel i2i approximations of the odd type-3 DST (ODST-3). Experimental results with the HEVC reference software show that the developed i2i approximations of the ODST-3 improve lossless intra-frame compression efficiency with respect to HEVC version 2, which uses the popular DPCM method, by an average 2.7% without a significant effect on computational complexity.

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Section: B Methods Based On Pixel-by-pixel Spatial Predictionmentioning

confidence: 99%

Section: B Methods Based On Pixel-by-pixel Spatial Predictionmentioning

confidence: 99%

Lossless Image and Intra-Frame Compression With Integer-to-Integer DST

Kamisli

2019

IEEE Trans. Circuits Syst. Video Technol.

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“…If the block is at the left (top) boundary, p j * is used as the left (top) value. The two Fil modes are based on 3tap filters with coefficients [3,7,22]/32 or [14, 0, 18]/32 [13], and use the top-left, top, and left feature values to predict the current value. Again, at the boundaries, the unavailable values are replaced by p j * .…”

Section: Deep Feature Compressionmentioning

confidence: 99%

Near-Lossless Deep Feature Compression for Collaborative Intelligence

Choi

Bajić

2018

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)

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Collaborative intelligence is a new paradigm for efficient deployment of deep neural networks across the mobilecloud infrastructure. By dividing the network between the mobile and the cloud, it is possible to distribute the computational workload such that the overall energy and/or latency of the system is minimized. However, this necessitates sending deep feature data from the mobile to the cloud in order to perform inference. In this work, we examine the differences between the deep feature data and natural image data, and propose a simple and effective near-lossless deep feature compressor. The proposed method achieves up to 5% bit rate reduction compared to HEVC-Intra and even more against other popular image codecs. Finally, we suggest an approach for reconstructing the input image from compressed deep features that could serve to supplement the inference performed by the deep model.

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“…However, since the transform is skipped in lossless coding, a pixel-by-pixel spatial prediction approach can now be used instead of a block-based approach for more efficient prediction. [12] Sample-based Angular Prediction (SAP) [8] is an example of a pixel-by pixel prediction. In SAP, Modes Planar and DC are kept as HEVC's default modes and the angular modes are modified.…”

Section: Pixel-by-pixel Predictionmentioning

confidence: 99%

“…In this paper, a pixel-by-pixel spatial prediction method which uses three neighbouring pixels, similar to the algorithm discussed in [12], is proposed. However, while [12] obtains prediction weights offline from training sequences, this paper uses an online method to adapt the prediction weights to the This research was supported by Grant 113E516 of Tubitak content of each encoded block during encoding, which can provide further coding gains. This paper is organised as follows.…”

Section: Introductionmentioning

confidence: 99%

Lossless intra coding in HEVC with adaptive 3-tap filters

Alvar

Kamisli

2016

2016 International Conference on Image, Vision and Computing (ICIVC)

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In pixel-by-pixel spatial prediction methods for lossless intra coding, the prediction is obtained by a weighted sum of neighbouring pixels. The proposed prediction approach in this paper uses a weighted sum of three neighbor pixels according to a two-dimensional correlation model. The weights are obtained after a three step optimization procedure. The first two stages are offline procedures where the computed prediction weights are obtained offline from training sequences. The third stage is an online optimization procedure where the offline obtained prediction weights are further fine-tuned and adapted to each encoded block during encoding using a rate-distortion optimized method and the modification in this third stage is transmitted to the decoder as side information. The results of the simulations show average bit rate reductions of 12.02% and 3.28% over the default lossless intra coding in HEVC and the well-known Sample-based Angular Prediction (SAP) method, respectively.

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On lossless intra coding in HEVC with 3-tap filters

Cited by 7 publications

References 24 publications

Lossless Image and Intra-Frame Compression With Integer-to-Integer DST

Lossless Image and Intra-Frame Compression With Integer-to-Integer DST

Near-Lossless Deep Feature Compression for Collaborative Intelligence

Lossless intra coding in HEVC with adaptive 3-tap filters

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