diff --git a/GSoC_2019.md b/GSoC_2019.md
index cff7785..5c9a97f 100644
--- a/GSoC_2019.md
+++ b/GSoC_2019.md
@@ -17,7 +17,7 @@ OpenCV Project Ideas List:
 | [Model Zoo](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-model-zoo-curate-deep-nets-for-the-DNN) | [Point Coordinate Regression](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-point-coordinate-regression-and-dsac) | [Differential Rendering](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-create-a-differentiable-rendering-module-torchgeometryrender) | [Image Processing](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-differentiable-image-processing) | 
 |[April Tags](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-add-april-tag-fiducial-detection-to-opencv) or [Geometric April Tags](https://github.com/opencv/opencv/wiki/GSoC_2019#idea-3d-augmentation--april-tags)| [Optical Flow](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-create-a-consolidated-optical-flow-module-optflow)| [Python OpenCV](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-improve-and-expand-python-version-of-opencv)| [Depth Fusion](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-kinectfusion-improvements)|
 |[Face Landmarks](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-facial-landmark-detector)| [Boosted Cascades](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-a-universal-boosted-cascades-interface)| [Machine Learning Tutorials](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-improve-machine-learning-tutorials-and-documentation)| [OpenCV GUI](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-improve-the-opencv-user-interface)|
-| [DNN Quantization](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-add-quantization-and-pruning-functionality-opencv-dnn-module) | [DNN Super-Resolution](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-deep-learning-based-super-resolution-algorithms-based-on-opencv-dnn) | [Alpha Matting](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-Alpha-Matting-algorithms) [**1**]() [**2**]()| [Deep Nets on Video](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-python-deep-learning-inference-on-video) |
+| [DNN Quantization](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-add-quantization-and-pruning-functionality-opencv-dnn-module) | [DNN Super-Resolution](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-deep-learning-based-super-resolution-algorithms-based-on-opencv-dnn) | [Alpha Matting](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-deep-learning-based-alpha-matting) [**1**](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-deep-learning-based-alpha-matting) [**2**](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-computer-vision-based-Alpha-Matting)| [Deep Nets on Video](https://github.com/opencv/opencv/wiki/GSoC_2019/#idea-python-deep-learning-inference-on-video) |
 | geometric vision | | | 
 
 -----------------
@@ -200,21 +200,6 @@ OpenCV is taking part in [GSoC 2019](https://summerofcode.withgoogle.com/organiz
       * ***Mentors:*** Tyan Vladimir
       * ***Difficulty:*** Medium
 
-
-   1. #### _IDEA:_ Deep learning based Alpha Matting
-      * ***Description:*** Project aims at generating a large training dataset for alpha matting, training the model and converting the model to ONNX to be used with OpenCV's DNN module.
-      * ***Expected Outcomes:*** 
-         * A large dataset which can be used to train models of alpha matting. 
-         * Implement the paper: ["Deep Image Matting"](https://arxiv.org/abs/1703.03872) by Ning Xu et al.
-         * Trained model by the use of the generated dataset
-         * Experiments comparing results to existing alpha matting algorithms at [alphamatting.com](http://alphamatting.com/index.html)
-         * Convert model to ONNX and provide running example in OpenCV's DNN module
-         * Resources
-            * [alphamatting.com](http://alphamatting.com/index.html) Comparison of many methods, datasets etc
-      * ***Skills Required:*** Excellent C++ and Python coding skills, Experience in training deep learning models in Tensorflow/Pytorch, Experience in Computer Vision, Experience in Deep Learning
-      * ***Mentors:*** Sunita Nayak
-      * ***Difficulty:*** Medium-Hard
-
    1. #### _IDEA:_ Computer Vision based Alpha Matting
       * ***Description:*** Project aims to integrate some of the best computer vision based best alpha matting algorithms into OpenCV. 
       * ***Expected Outcomes:***