Did you mean: A CNN Model for Grayscale Image Processing.
May 13, 2022 · Building a Convolutional Neural Networks-Based Autoencoder in Python on Gray-Scale Images of Hand-Drawn Digits from 0 Through 9.
Aug 12, 2020 · I'm trying to run a CNN (convolutional neural network) with 1 channel/grayscale images with size 28x28 pixels. When I try to train the model it ...
Nov 4, 2023 · Grayscale CNNs are often used in applications such as handwritten digit recognition (e.g., MNIST dataset), medical image analysis, and various ...
A modification of the CNN model is proposed in this work. An iterated-map is defined instead of the original differential equation while a sigmoid function ...
We propose a colorization tool which utilizes both min- imal user input and traditional convolutional neural net- works to color gray-scale images.
Jun 12, 2024 · For this article, various NN architectures were developed to categorize black-and-white images from the Fashion MNIST dataset.
Jun 1, 2005 · Some examples are presented in which grey scale images are processed, revealing the capabilities of the model both in detecting edges and in ...
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Jan 12, 2024 · The work proposed in this paper is a high-performance colorization model that can be used in a wide range of applications such as colorization of old photos.
May 31, 2024 · CNN is a powerful algorithm for image processing. This article is a beginners guide to image processing using CNN & MNIST dataset.
Compact CNN with histogram based color descriptor. We separate color information from the original image by only feeding the CNN with the grayscale image.