Improvement of JPEG XL Lossy Image Coding Using Region Adaptive DCT Block Partitioning Structure

The Joint Picture Expert Group (JPEG) committee has been standardizing next-generation image compression, called JPEG XL, to meet the specific needs for a responsive web, wide color gamut, and high dynamic range. JPEG XL supports lossy and lossless compression. A variable-sized discrete cosine trans...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.113213-113225
Main Authors: Cho, Joonhyung, Kwon, Oh-Jin, Choi, Seungcheol
Format: Article
Language:English
Subjects:
colorfulness
Compression tests
DCT block partitioning structure
Discrete cosine transform
Discrete cosine transforms
Encoding
Homogeneity
homogeneous region
Image coding
Image color analysis
Image compression
JPEG encoders-decoders
JPEG XL
Measurement
Partitioning
sum-modified Laplacian
Transform coding
zero-crossing
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Summary:The Joint Picture Expert Group (JPEG) committee has been standardizing next-generation image compression, called JPEG XL, to meet the specific needs for a responsive web, wide color gamut, and high dynamic range. JPEG XL supports lossy and lossless compression. A variable-sized discrete cosine transform (DCT) block is used for lossy compression. A block partitioning method is regarded as a critical function for the performance of JPEG XL. The current DCT block partitioning method used in JPEG XL is highly dependent on the compression rate and tends to assign small-sized DCT blocks to homogeneously textured regions (HTRs) having similar or regular patterns. We propose a region-adaptive DCT block partitioning method that assigns larger blocks to the HTR. The proposed method identifies the HTRs by using a combined metric employing a sum-modified Laplacian, zero-crossing, and colorfulness metric for measuring the region homogeneity. Objective, subjective, and visual comparison evaluations with the ten images recommended by the JPEG working group were provided to show the improvement in coding performance. The proposed method shows its superiority in terms of the compression efficiency evaluated using six objective metrics, subjective tests with 15 participants, visual comparison improvements in the HTR, and gains in the execution time.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3102235