scholarly journals Semantic Perceptual Image Compression Using Deep Convolution Networks

2017 ◽  
Author(s):  
Aaditya Prakash ◽  
Nick Moran ◽  
Solomon Garber ◽  
Antonella Dilillo ◽  
James Storer
Keyword(s):  
Image Compression ◽  
Perceptual Image Compression

Perceptual Image Compression using Relativistic Average Least Squares GANs

2021 ◽  
Author(s):  
Zhengxue Cheng ◽  
Ting Fu ◽  
Jiapeng Hu ◽  
Li Guo ◽  
Shihao Wang ◽  
...  
Keyword(s):  
Image Compression ◽  
Least Squares ◽  
Perceptual Image Compression

Perceptual Image Compression with Block-Level Just Noticeable Difference Prediction

2021 ◽  
Vol 16 (4) ◽  
pp. 1-15
Author(s):  
Tao Tian ◽  
Hanli Wang ◽  
Sam Kwong ◽  
C.-C. Jay Kuo
Keyword(s):  
Image Compression ◽  
Prediction Model ◽  
Structural Similarity ◽  
Just Noticeable Difference ◽  
Test Image ◽  
Image Block ◽  
Otsu Method ◽  
Block Level ◽  
Transform Coefficients ◽  
Perceptual Image Compression

A block-level perceptual image compression framework is proposed in this work, including a block-level just noticeable difference (JND) prediction model and a preprocessing scheme. Specifically speaking, block-level JND values are first deduced by utilizing the OTSU method based on the variation of block-level structural similarity values between two adjacent picture-level JND values in the MCL-JCI dataset. After the JND value for each image block is generated, a convolutional neural network–based prediction model is designed to forecast block-level JND values for a given target image. Then, a preprocessing scheme is devised to modify the discrete cosine transform coefficients during JPEG compression on the basis of the distribution of block-level JND values of the target test image. Finally, the test image is compressed by the max JND value across all of its image blocks in the light of the initial quality factor setting. The experimental results demonstrate that the proposed block-level perceptual image compression method is able to achieve 16.75% bit saving as compared to the state-of-the-art method with similar subjective quality. The project page can be found at https://mic.tongji.edu.cn/43/3f/c9778a148287/page.htm.

Perceptual image compression for data transmission on the battlefield

1998 ◽  
Author(s):  
Jose G. Gonzalez ◽  
Mark J. T. Smith ◽  
Ingo Hontsch ◽  
Lina J. Karam ◽  
Kameswara R. Namuduri ◽  
...  
Keyword(s):  
Image Compression ◽  
Data Transmission ◽  
Perceptual Image Compression

Just Noticeable Difference Level Prediction for Perceptual Image Compression

2020 ◽  
Vol 66 (3) ◽  
pp. 690-700
Author(s):  
Tao Tian ◽  
Hanli Wang ◽  
Lingxuan Zuo ◽  
C.-C. Jay Kuo ◽  
Sam Kwong
Keyword(s):  
Image Compression ◽  
Just Noticeable Difference ◽  
Perceptual Image Compression
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