Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization

unofficial implementation of DCT-Net: Domain-Calibrated Translation for Portrait

基于DCT-NET风格迁移算法的视频自动化风格修改demo

基于DCT-Net的图片/视频转绘gradio界面webui

[ICCV'25] ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement

Official implementation of the paper "DCT2net: an interpretable shallow CNN for image denoising"

基于DCT-Net：用于肖像风格化的Android应用程序

Convolutional Neural Network Implementing Spectral Pooling using DCT

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Adaptive DCT image compression with custom neural net -MATLAB

The implementation of our MedIA paper SDCT-AuxNet$^{\theta}$: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis

Well, now the DCT or Discrete Cosine Transform method In this method, we show the discrete cosine transform of an image as a sum of sinuses with different magnitudes and frequencies. The dct2 function calculates the two-dimensional discrete cosine transform (DCT) of an image, but DCT has the characteristic that for In a typical image, most of the important visual information about the image is concentrated in only a few DCT coefficients. For this reason, DCT is often used in image compression applications, so this is the cliche application. There is a general mathematical formula that you can search on the net. There is one characteristic, and I will send it to you. It has two main dimensions, which are identified by alpha and beta. There is another formula, which, of course, we did not use in the code, to reverse the situation when we use these functions. We use the amount that they give us as a weight, so it can be calculated as a half of our model, but it cannot be used in everything. We have to make a model for each image. The signal that is given from the image is always an 8x8 matrix, whose value is always constant, if this value is not constant. Because our functions have weight, the logic gets messed up and our work is wrong. The exact same formula is used in the code and the summary of the code and no special library is used.

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That's how you getting and changing DCTs using libjpeg.Net in C#

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This is the codebase of the paper "FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform". This paper brings an intuitive, heuristic and funny idea of Super-Resolution via the supervision from frequency domain, with non-promising quality of results achieved. May this repository be a toast to the courage of the author.

Test task for Trainee .NET Developer in DCT - checker for crypto currencies.

图像风格变换的代码部分，含CycleGAN和StyleGAN、DCT-Net的应用步骤

state-of-the-art deep learning approach utilizing U-Net architecture to accurately detect tampered regions in JPEG images by analyzing DCT coefficients.

This is a project for IT3290/Hust with my teammates DCT. This project uses ReactJS for FE, ASP.NET Core Web API for BE, Microsoft SQL Server for Database

Hybrid machine learning-based image forensics system for detecting and localizing spliced (tampered) regions in digital images using a combination of handcrafted features (DCT, DWT, PRNU) and deep learning models (ResNet, U-Net).

📦 SteganoToolkit – Herramienta de Esteganografía Digital 🔐🖼️ Aplicación multiplataforma en C# (.NET + GTK) para ocultar y extraer mensajes en imágenes. Incluye comparativa de técnicas (LSB, DCT, adaptativa, etc.), visualización de diferencias y documento académico con análisis técnico y estado del arte.