A JND DATASET BASED ON VVC COMPRESSED IMAGES
Xuelin Shen, Wenhan Yang, xinfeng zhang, Shiqi Wang, Sam Kwong, Zhangkai Ni
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10 Jul 2020
In this paper, we establish a just noticeable distortion (JND)
dataset based on the next generation video coding standard
Versatile Video Coding (VVC). The dataset consists of 202
images which cover a wide range of content with resolution
1920×1080. Each image is encoded by VTM 5.0 intra coding
with the quantization parameter (QP) ranging from 13 to 51.
The details regarding dataset construction, subjective testing
and data post-processing are described in this paper. Finally,
the significance of the dataset towards future video coding re-
search is envisioned. All source images as well as the testing
data will be made available to the public.
dataset based on the next generation video coding standard
Versatile Video Coding (VVC). The dataset consists of 202
images which cover a wide range of content with resolution
1920×1080. Each image is encoded by VTM 5.0 intra coding
with the quantization parameter (QP) ranging from 13 to 51.
The details regarding dataset construction, subjective testing
and data post-processing are described in this paper. Finally,
the significance of the dataset towards future video coding re-
search is envisioned. All source images as well as the testing
data will be made available to the public.
