Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations
Joint Photographic Experts Group (JPEG) achieves data compression by quantizing Discrete Cosine Transform (DCT) coefficients, which inevitably introduces compression artifacts. Most existing JPEG quality enhancement methods operate in the pixel domain, suffering from the high computational costs of decoding. Consequently, direct enhancement of JPEG images in the DCT domain has gained increasing attention. However, current DCT-domain methods often exhibit limited performance. To address this challenge, we identify two critical types of correlations within the DCT coefficients of JPEG images. Building on this insight, we propose an Advanced DCT-domain JPEG Quality Enhancement (AJQE) method that fully exploits these correlations. The AJQE method enables the adaptation of numerous well-established pixel-domain models to the DCT domain, achieving superior performance with reduced computational complexity. Compared to the pixel-domain counterparts, the DCT-domain models derived by our method demonstrate a 0.35 dB improvement in PSNR and a 60.5% increase in enhancement throughput on average.
Code (0)
등록된 구현이 없습니다.
Tasks
Data CompressionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
A new image compression by gradient Haar wavelet
With the development of human communications the usage of Visual Communications has also increased. The advancement of image compression methods is one of the main reasons for the enhancement. This paper first presents m…
Image CompressionSSIMLight Field Compression by Residual CNN Assisted JPEG
Light field (LF) imaging has gained significant attention due to its recent success in 3-dimensional (3D) displaying and rendering as well as augmented and virtual reality usage. Nonetheless, because of the two extra dim…
Depth EstimationSSIMVideo CompressionAn End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization
Recently, learned image compression methods have been actively studied. Among them, entropy-minimization based approaches have achieved superior results compared to conventional image codecs such as BPG and JPEG2000. How…
Image CompressionMS-SSIMSSIMPalette: Image-to-Image Diffusion Models
This paper develops a unified framework for image-to-image translation based on conditional diffusion models and evaluates this framework on four challenging image-to-image translation tasks, namely colorization, inpaint…
ColorizationDenoisingDiversityImage-to-Image Translation+4Users prefer Jpegli over same-sized libjpeg-turbo or MozJPEG
We performed pairwise comparisons by human raters of JPEG images from MozJPEG, libjpeg-turbo and our new Jpegli encoder. When compressing images at a quality similar to libjpeg-turbo quality 95, the Jpegli images were 54…