LOSSLESS INTRA CODING IN HEVC WITH INTEGER-TO-INTEGER DST

Date

2016-09-02

Author

Kamışlı, Fatih

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It is desirable to support efficient lossless coding within video coding standards, which are primarily designed for lossy coding, with as little modification as possible. A simple approach is to skip transform and quantization, and directly entropy code the prediction residual, but this is inefficient for compression. A more efficient and popular approach is to process the residual block with DPCM prior to entropy coding. This paper explores an alternative approach based on processing the residual block with integer-to-integer ( i2i) transforms. I2i transforms map integers to integers, however, unlike the integer transforms used in HEVC for lossy coding, they do not increase the dynamic range at the output and can be used in lossless coding. We focus on lossless intra coding and use both an i2i DCT from the literature and a novel i2i approximation of the odd type-3 DST. Experiments with the HEVC reference software show improved results.

Subject Keywords

Image coding, Video Coding, Discrete cosine transforms, Lossless coding, HEVC

URI

https://hdl.handle.net/11511/55035

Conference Name

24th European Signal Processing Conference (EUSIPCO)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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LOSSLESS COMPRESSION IN HEVC WITH INTEGER-TO-INTEGER TRANSFORMS Kamışlı, Fatih (2016-09-23) Many approaches have been proposed to support lossless coding within video coding standards that are primarily designed for lossy coding. The simplest approach is to just skip transform and quantization and directly entropy code the prediction residual, which is used in HEVC version 1. However, this simple approach is inefficient for compression. More efficient approaches include processing the residual with DPCM prior to entropy coding. This paper explores an alternative approach based on processing the re...
Lossless Image and Intra-Frame Compression With Integer-to-Integer DST Kamışlı, Fatih (2019-02-01) 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 in s...
Losless Compression in HEVC with Integer to Integer Transforms Kamışlı, Fatih (IEEE; 2016-09-23) Many approaches have been proposed to support lossless coding within video coding standards that are primarily designed for lossy coding. The simplest approach is to just skip transform and quantization and directly entropy code the prediction residual, which is used in HEVC version 1. However, this simple approach is inefficient for compression. More efficient approaches include processing the residual with DPCM prior to entropy coding. This paper explores an alternative approach based on processing the re...
Block-Based Spatial Prediction and Transforms Based on 2D Markov Processes for Image and Video Compression Kamışlı, Fatih (2015-04-01) Conventional intraframe coding is performed in two steps. First, a block of pixels are predicted by copying previously reconstructed neighbor pixels of the block along an angular direction inside the block. Then, the prediction residual block is transform coded with the well-known 2D discrete cosine transform (DCT). Recently, it has been shown that transforming the intraprediction residuals with the odd type-3 discrete sine transform along the prediction direction and the DCT along the perpendicular directi...
Lossless Intra Coding in HEVC with Adaptive 3-Tap Filters Alvar, Saeed Ranjbar; Kamışlı, Fatih (2016-08-05) In pixel-by-pixel spatial prediction methods for lossless intra coding, the prediction is obtained by a weighted sum of neighboring 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 optim...

Citation Formats

F. Kamışlı, “LOSSLESS INTRA CODING IN HEVC WITH INTEGER-TO-INTEGER DST,” presented at the 24th European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55035.