Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Methods/Discrete Cosine Transform

Discrete Cosine Transform

GeneralIntroduced 2000212 papers

Description

Discrete Cosine Transform (DCT) is an orthogonal transformation method that decomposes an image to its spatial frequency spectrum. It expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. It is used a lot in compression tasks, e..g image compression where for example high-frequency components can be discarded. It is a type of Fourier-related Transform, similar to discrete fourier transforms (DFTs), but only using real numbers.

Image Credit: Wikipedia

Papers Using This Method

Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations2025-06-26 Efficient Transformations in Deep Learning Convolutional Neural Networks2025-06-19 ME: Trigger Element Combination Backdoor Attack on Copyright Infringement2025-06-12 Intelligent Incident Hypertension Prediction in Obstructive Sleep Apnea2025-05-27 Spreading the Wave: Low-Complexity PAPR Reduction for AFDM and OCDM in 6G Networks2025-05-03 Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining2025-04-29 Towards Generalizable Deepfake Detection with Spatial-Frequency Collaborative Learning and Hierarchical Cross-Modal Fusion2025-04-24 FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation2025-04-04 Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios2025-03-17 Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network2025-03-13 Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform2025-03-09 HADL Framework for Noise Resilient Long-Term Time Series Forecasting2025-02-14 LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning2025-02-05 DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification2025-02-04 NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation2025-01-27 DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space2024-12-19 FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection2024-12-12 Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection2024-12-12 Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger2024-12-10 A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation2024-12-08