LOSSLESS COMPRESSION IN HEVC WITH INTEGER-TO-INTEGER TRANSFORMS

Date

2016-09-23

Author

Kamışlı, Fatih

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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 residual 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. Experiments with the HEVC reference software show competitive results.

Subject Keywords

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

URI

https://hdl.handle.net/11511/55814

Conference Name

18th IEEE International Workshop on Multimedia Signal Processing (MMSP)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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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...
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Citation Formats

F. Kamışlı, “LOSSLESS COMPRESSION IN HEVC WITH INTEGER-TO-INTEGER TRANSFORMS,” presented at the 18th IEEE International Workshop on Multimedia Signal Processing (MMSP), Montreal, CANADA, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55814.