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Dec-adapter: Exploring efficient decoder-side adapter for bridging screen content and natural image compression
Natural image compression has been greatly improved in the deep learning era. However,
the compression performance will be heavily degraded if the pretrained encoder is directly …
the compression performance will be heavily degraded if the pretrained encoder is directly …
Enhanced Screen Content Image Compression: A Synergistic Approach for Structural Fidelity and Text Integrity Preservation
With the rapid development of video conferencing and online education applications, screen
content image (SCI) compression has become increasingly crucial. Recently, deep learning …
content image (SCI) compression has become increasingly crucial. Recently, deep learning …
OMR-NET: a two-stage octave multi-scale residual network for screen content image compression
Screen content (SC) differs from natural scene (NS) with unique characteristics such as
noise-free, repetitive patterns, and high contrast. Aiming at addressing the inadequacies of …
noise-free, repetitive patterns, and high contrast. Aiming at addressing the inadequacies of …
Multi-task learning for screen content image coding
With the rise of remote work and collaboration, compression of screen content images (SCI)
is becoming increasingly important. While there are efficient codecs for natural images, as …
is becoming increasingly important. While there are efficient codecs for natural images, as …
DSCIC: Deep Screen Content Image Compression
Existing deep learning-based image compression methods overlook the unique properties
of screen content images (SCIs), like limited color values and abundant repetitive patterns …
of screen content images (SCIs), like limited color values and abundant repetitive patterns …
Screen Content-Aware Video Coding through Non-Local Model embedded with Intra-Inter In-Loop Filtering
Many studies have focused on utilizing convolutional neural networks (CNNs) to enhance
loop filter performance in video encoding. However, existing methods primarily concentrate …
loop filter performance in video encoding. However, existing methods primarily concentrate …
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
The learned image compression (LIC) methods have already surpassed traditional
techniques in compressing natural scene (NS) images. However, directly applying these …
techniques in compressing natural scene (NS) images. However, directly applying these …
Efficient screen content image compression via superpixel-based content aggregation and dynamic feature fusion
This paper addresses the challenge of efficiently compressing screen content images (SCIs)-
computer generated images with unique attributes such as large uniform regions, sharp …
computer generated images with unique attributes such as large uniform regions, sharp …
Learned Image Compression With Text Quality Enhancement
Learned image compression has gained widespread popularity for their efficiency in
achieving ultra-low bit-rates. Yet, images containing substantial textual content, particularly …
achieving ultra-low bit-rates. Yet, images containing substantial textual content, particularly …