Questions tagged [image-processing]

A form of signal processing where the input is an image. Usually treating the digital image as a two-dimensional signal (or multidimensional). This processing may include image restoration and enhancement (in particular, pattern recognition and projection).

Filter by
Sorted by
Tagged with
1 vote
0 answers
16 views

Finding the most-similar color palette [closed]

I have a dataset of several thousand color palettes: for each row in a dataset, I have the ten most common RGB values in an image, and the fraction of that color in the overall image: ...
Saul Aryeh Kohn's user avatar
0 votes
0 answers
12 views

No prior research? Using deep learning to enhance videos by predicting the best filters or histogram transformations to apply [closed]

I would like to enhance videos recorded with 4K cameras. However, the techniques that I can find online roughly fall into these two categories: Clever mathematics heuristics to automatically adjust ...
Helge J's user avatar
0 votes
1 answer
15 views

K means clustering of image with k=1 vs mean of all pixels

I have relatively uniformly colored images and I extracted colors using k-means. k means 1 showed the best results for my modeling purposes, k means 2 not so much, and with k-means 3 there ceased to ...
phil27's user avatar
  • 1
0 votes
0 answers
8 views

Computer vision tool to match regions in two images at different pixel locations

I have two image files. One image has subplots of (100) stock price graphs with stock ticker labels. The other image has subplots of (112) stock price graphs shuffled to a different row and column in ...
Jose_Peeterson's user avatar
0 votes
0 answers
13 views

Increasing the clarity in the tasks of image generation using CNN

What methods exist to improve the quality of generated images and the clarity of contours in the tasks of image denoising/debluring (using CNN), style transfer etc? I am interested in approaches that ...
Alimagadov K.'s user avatar
2 votes
0 answers
106 views

Seeking Guidance on Constrained Input Modeling for Soil Moisture Correction Using Rainfall Observations

I find myself immersed in the intricacies of working with 2D modeled fields (images) representing soil moisture in regions where direct observations are unfortunately absent. However, there is a ...
Seyed Omid Nabavi's user avatar
1 vote
0 answers
23 views

Image Blur - Disc Kernel [closed]

I'm trying to use the blur() function from the spatstat package in R to blur an image. One ...
BurlyPotatoMan's user avatar
0 votes
0 answers
24 views

Query regarding MI and NMI in the context of image fusion

I am exploring Mutual Information (MI) and Normalized Mutual Information (NMI) in the context of image fusion. While reviewing various sources, it's often mentioned that Mutual Information's value ...
925678's user avatar
  • 1
0 votes
0 answers
24 views

Partial Differential Equations for Image Inpainting - Gradients and Orthogonal to gradients

I hope this is the correct channel. Following the Coursera course on image inpainting using PDEs [1], the instructor presents a method for image Inpainting that follows the next equation: $\frac{\...
mgbacher's user avatar
  • 121
0 votes
0 answers
14 views

Computing coordinates of points of an image after elastic deformation

My task is: given an image and set of points of interest, elastically and randomly deform the image and save it with the modified aforementioned points. example: (blue points are the points of ...
FirePapaya's user avatar
0 votes
0 answers
17 views

Remove non repeatable stochastic noise from an image

Assume that you have these coordinates inside an image. The algorithm for creating these crosses comes from FAST-algorithm for corner detection. But the problem with FAST-algorithm is that some of ...
euraad's user avatar
  • 415
0 votes
0 answers
9 views

Fully Convolutional Networks: Fully Connected Layers as Convolutional Layers

I'm reading the paper "The Fully Convolutional Network" and I don't understand this passage in 3.1: Typical recognition nets, including LeNet [21], AlexNet [19], and its deeper successors [...
user0906's user avatar
1 vote
0 answers
20 views

A method to categorize variations in time series of images

I am working with a time series of remote sensing images from a particular area. Temporal standard deviation (SD) of these images showed high fluctuations at some regions with SD of 1.17 while some ...
sat_P's user avatar
  • 11
0 votes
0 answers
33 views

Formula/Proof: How many times must maxpooling (3x3 kernel, stride 2x2) be applied for a random binary mask (dxd size) to have only 1 values?

Given a d x d array, 1% of which contains the value 1 and all remaining locations contain the value 0. (e.g. a 128 x 128 array would have 164 values equal to 1 and 16220 values equal to 0). What would ...
Yatagarasu50469's user avatar
0 votes
0 answers
15 views

Training problem in CNN model for image classification

I am training Cifar-10 dataset of 32 x 32 sized coloured images for image classification. Here is the link/source to the dataset and its description: https://www.cs.toronto.edu/~kriz/cifar.html The ...
keen_Learner 's user avatar
0 votes
0 answers
35 views

Image processing: Inferre rotation angle of tilted rectangle on noisy background

I have many "grayscale" images i.e. 2d-arrays like the following: i.e. dark rectangles which are tilted by an angle $\alpha \in [-3^\circ, 3^\circ]$ and a bright but noisy background. I ...
cknoll's user avatar
  • 133
3 votes
1 answer
134 views

Can translation invariance be achieved by just a global pooling layer?

I am trying to understand the purpose of the max pooling layers that are insterted between intermediate convolutional layers. As we know, the outputs of convolutional layers are translational ...
ado sar's user avatar
  • 452
2 votes
2 answers
216 views

Entropy of an Image?

In a previous question (Entropy of an image) and in various sources on the web, the Shannon entropy of an image is considered to be the entropy of the frequency distribution of the grayscale values. ...
Edoardo's user avatar
  • 21
1 vote
0 answers
49 views

What is the best strategy to determine the final weights of the model after doing k-fold cross-validation?

Suppose we are building a CNN model. After we do 5-fold cross-validation and examine the accuracies and other statistical tests, how do we choose the final weights of the model? Should we choose the ...
Ola Galal's user avatar
-1 votes
1 answer
76 views

Machine learning and Artificial intelligence algorithms in identifying and classifying Airplane parts

Airplane parts and functions Can Machine Learning and Artificial intelligence Algorithms assist in identifying and classifying Airplane images parts?
Prashant Akerkar's user avatar
0 votes
0 answers
17 views

Name for matrices with $M_{i,j} = M_{n-i+1, n-j+1}$ symmetry (eg. 2D autocorrelation)?

Covariance matrices are symmetric positive definite matrices. The 'Symmetric' part of this means that the strict upper elements are redundant with the strict lower elements, i.e $M_{i,j} = M_{j,i}$. ...
dherrera's user avatar
  • 1,248
0 votes
0 answers
20 views

PCA components - do they represent the features or the samples?

Consider the task to apply dimensional reduction to extract "salient" features from images. I am confused about what components in PCA represents: features or samples ? I understand that PCA ...
user305883's user avatar
1 vote
0 answers
22 views

How to measure effective sample size for multivariate time series?

I am working with images collected over time from a fixed camera. Since the scene doesn't change for long periods, my effective sample size is much lower than the actual number of images I've ...
ted's user avatar
  • 641
0 votes
0 answers
26 views

What is a feature of an image?

Given an image to train on a CNN what would be considered the features that are the inputs of the model? Would each individual pixel be a feature or would the R,G,B channels be the features? Lets say ...
Hayden LaBrie's user avatar
4 votes
0 answers
35 views

Fused lasso for image denonising

For a given data $y_{i}$, with $i=1, \dots, n$, we consider the following signal approximation: $$ \hat{y} = \arg \min_{w}\sum_{i=1}^{n}(y_{i}-w_{i})^{2} + \lambda \sum_{(i,j)\in E}|w_{i} - w_{j}|, $$ ...
ABK's user avatar
  • 476
0 votes
0 answers
82 views

Input Image to U Net with Pretrained ResNet34 Encoder

Most of the pretrained architecture accept the input image size 224x224, but do we have to always resize our images to 224x224? I try to do both resize 224x224 and 512x512, the first resolution give ...
anastasia's user avatar
4 votes
2 answers
100 views

What are the best resources on image synthesis?

What are some good resources to learn about image synthesis? What are some of the key concepts or architectures to study? I understand image synthesis as generating new images with ML techniques.
Glue's user avatar
  • 463
0 votes
2 answers
65 views

Model giving accuracy of 89% after training it by CT scan Images. and giving accuracy of 35% on testing. and low precision, recall, f1-score [closed]

I am training a model for cancer detection by using chest CT scan Image. training set is 70% testing set is 20% validation set is 10%. Data contain 3 chest cancer types which are Adenocarcinoma, Large ...
Praveen Rawat's user avatar
0 votes
0 answers
34 views

The correlation between ROC and AUC curve

For multi-classification. The ROC curve not completely covers the upper-left corner of the plot, why the AUC is equal to 1. The result of the testing set is completely classified with an accuracy ...
user381137's user avatar
0 votes
0 answers
27 views

Looking for a goodness-of-fit measure for fitting a model to an image

I am trying to fit a model to a noisy image. After fitting, I would like to have some way of assessing the quality of the fit (i.e. whether there are any systematic deviations of the model from the ...
Ewout's user avatar
  • 1
4 votes
1 answer
1k views

How to determine if two images contain the same object without a dataset?

The problem I am trying to solve is, given two images, determining whether they contain the same object or not. Here is an example: The first two images contain the same object, while the third image ...
NoahGav's user avatar
  • 141
4 votes
3 answers
186 views

Should a CNN generalize to arbitrary positions in the data?

I have trained a CNN on one dimensional data that is the power spectral density (PSD) of a $N$ different classes of signals ($N=4$). Each of the $N$ signals has a different spectral shape (not shown ...
BigBrownBear00's user avatar
0 votes
0 answers
84 views

Standard Deviation of Averaging filter

I am wondering why the standard deviation of the averaging filter of width w is as follows? Where does the 12 in the denominator come from? For context, the paper is am refererring to can be found ...
Ash's user avatar
  • 1
1 vote
0 answers
186 views

Regression summary returning coefficients with value and standard error equal to zero

I'm creating a classifier using linear regression to classify images of hand-drawn digits from the MNIST dataset. I realize that linear regression is not the appropriate approach, but this is for a ...
jmoore00's user avatar
  • 369
0 votes
0 answers
57 views

When to use Padding when Randomly Cropping Images in Deep Learning?

I am seeing these two options to process mini-imagenet images during training: Option 1 torchmeta: ...
Charlie Parker's user avatar
0 votes
0 answers
31 views

Evaluation metrics of XAI techniques output

Consider multiple videos with N frames. I have M models and X XAI methods. Basically, i've trained and evaluated some models (classification task, real/deepfake) on these N frames and I've obtained ...
ccragusa's user avatar
0 votes
1 answer
102 views

What kind of architecture to use for non-binary output multi-label image clasification

I want to make a network for making multi-label attribute classifications on images of clothing. This is a simplified case of what I want to do, I have 9 different attribute categories that I wish to ...
isa türk's user avatar
  • 101
0 votes
2 answers
689 views

How to calculate the transalation and/or rotation of two images using fourier transaform?

I need find the translation and/or rotation of an image and himself translated and/or rotated (x0, y0) px and/or J degrees. Given the two images I need to find N.
Sebastian Jose's user avatar
3 votes
1 answer
477 views

Is there any well-founded way of calculating the euclidean distance between two images?

I need to determine the distance between two images. Supposing that we are dealing with images of the same size, I think that we can reduce this problem to the square root of the sum of the square of ...
Zaratruta's user avatar
  • 728
1 vote
1 answer
63 views

Standard deviation of symmetric data

Within my field a recent study suggested to use the symmetric properties of certain image datasets to improve signal to noise ratio (SNR). I will spare you the details, but in the end one can get a ...
user avatar
1 vote
1 answer
988 views

Best reconstruction loss for RGB images?

Which loss works the best for pixel-wise RGB image (3, width, height)reconstruction loss? It seems there are several options Regression way. The input image has ...
MerelyLearning's user avatar
1 vote
0 answers
177 views

How to explain the high accuracy and F1 score on the test set with a huge binary crossentropy loss?

I'll provide a little of introduction based on my example. I have a small collection of RGB (but 'gray-looking') brain MRI photos, divided into 2 classes: healthy and tumor. My data split looks like ...
Karolina Świergała's user avatar
0 votes
0 answers
29 views

Pix2Pix facede dataset, prevent "gray" in dataset to be predicted

I'm trying to build from scratch the pix2pix architecture, the one on this paper. As they did, I'm using the facade dataset, and this is one of their result: I'm particularly interested in the last ...
Alberto's user avatar
  • 889
3 votes
1 answer
328 views

Centering in normalized cross correlation for template matching

Context I'm following Lewis (1995) exposition on normalized cross correlation for template matching (Section 2). The cross-correlation of the image and the feature at $u,v$ is denoted by $c(u,v)$ and ...
Simón Ramírez Amaya's user avatar
0 votes
0 answers
142 views

Predict the missing pixel value by CNN

The data is images which resize to 256*256. And for per 8x8 area, we remove 4 pixels from the 8x8 block. Then iter this process to whole image. So the task is how to use per block pixels value(60 ...
natsume's user avatar
0 votes
0 answers
16 views

Why $P$ and $Q$ don't exist on the same coordinate, they need to be reconciled (processed) to exist on the exact same cells in order to calculate RMSE

I have a question about the root mean square error and Wasserstein distance on the paper https://arxiv.org/abs/2111.08736?context=stat. Consider two discrete probability distributions $P=\{P_i\}_{i=1}...
oliver's user avatar
  • 1
0 votes
2 answers
73 views

Significance test for an image centroid

I have an n x n matrix. Each cell contains a value. The matrix is essentially a heatmap. The null hypothesis is that the greatest values would be at the horizontal and vertical midlines of the matrix. ...
amd1972's user avatar
0 votes
0 answers
164 views

How to develop Multistage classification model using deep learning

I am little confused while doing multistage classification using deep learning model. I have data as below: ...
user avatar
1 vote
1 answer
65 views

Where can I find pre-trained fully convolutional neural networks? [closed]

I know that fully convolutional neural networks can be used for classifying images of arbitrary sizes. I would like to use some pre-trained fully-convolution neural networks for extracting features in ...
0 votes
0 answers
14 views

Probability of sampling >50% "bright" pixels from an image

Suppose an image consists of 300,000 pixels. 51% of these pixels are bright and 49% are dark. We are trying to determine if the image is bright or dark through sampling (in this example it would be ...
Aryaman Darda's user avatar

1
2 3 4 5
12