Questions tagged [blur]
The blur tag has no usage guidance.
34
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The Effect of the Finite Radius of Gaussian Kernel
Page 168 of Digital Image Processing, Global Edition says:
we know that the values of a Gaussian function at a
distance larger than 3𝜎 from the mean are small enough that they can be ignored.
If we ...
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1
answer
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Calculate magnitude of the gradient using higher order statistics
I am making a model for detecting blurred part of an image. I'm using features described in the paper Blurred Image Region Detection And Segmentation by Hyukzae Lee and Changick Kim, and I have a ...
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2
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Which Blur is being used in this effect
I'm trying to recreate an effect used on photoshop called satin effect, which has an option that control the size of the satin, which I think it's just a special blur applied to the satin pattern
So ...
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2
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Metric for image sharpness?
Suppose I have a blurry image: a photo convolved with a gaussian blur kernel of unknown sigma. I would want to deconvolve the blurry image using several gaussian kernels (with different sigmas). Is ...
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How to find sharpness of an image?
I have a rather difficult image processing image. I would like to rank order a set of images I have by their sharpness. The issue is the images themselves are not of the exact same thing. Usual ...
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How to denoise a video stream from poor CCTV lighting
I have grainy CCTV footage that will need some amount of clean up. I request for ideas on the best way to clean out the noise. I am attaching a frame extracted from the video here for hints on the ...
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Image Processing [closed]
I have an image and I am trying to find its rows and columns.
A = imread('lena.jpg');
nrows = size(A,1)
ncols = size(A,2)
This is 3 dimensional matrix. Output ...
1
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1
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Generating Kawase Blur Kernels to Approximate a Gaussian Blur on an Image
Is there an algorithm to generate the Kawase Blur Kernels to approximate the actual Gaussian Blur (of a specific kernel size, and if possible, a sigma)?
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What Is the Relation Between Deblurring and Deconvolution in Computer Vision and Image Processing?
The deblurring problem can be modelled as follows
$$
f = \phi u + \epsilon, \; \epsilon \sim N(0, \sigma)
$$
where $\phi$ is a filter (e.g. a low-pass filter) and $\epsilon$ is a Gaussian noise.
In ...
user40095
5
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2
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How to approximate gaussian kernel for image blur
From wiki, a $3 \times3$ gaussian kernel is approximated as:
$$\frac{1}{16}\begin{bmatrix}1&2&1\\2&4&2\\1&2&1 \end{bmatrix}.$$
Applying this kernel in an image equals to ...
- 153
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Is It Possible to Reconstruct the Original Image from Laplacian Pyramid?
In our computer vision course, my professor said we can reconstruct the original image from the Laplacian pyramid. It just feels to me that information is lost after doing subsampling and upsampling.
...
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2
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blur detection using opencv
I'm writing a script to detect blur images using OpenCV by applying Laplacian filter and calculate the std but there is a problem the std for images that contain motion blur is very close to those ...
6
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2
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Fastest Available Algorithm to Blur an Image (Low Pass Filter)
I am working with a camera that produces ugly artifacts:
by using ANY blur filter on the camera's output the visual quality improves drastically:
The above image was created using OpenCV's cv::...
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Image zoom out using Gaussian blur and downsampling
I am trying to implement a simple zoom out algorithm using two steps:
The image is blurred using gaussian convolution of standard deviation $0.8\sqrt{{\tt zoomfactor}^2-1}$ as we saw in class.
The ...
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1
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451
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How to predict next image in a sequence, or predict the deblurring of an image?
I have 3 versions of an image at lower resolutions - 480p, 720p, and 1080p. Is it possible to use those 3 images to predict the next highest resolution image (the 4k image)?
My first guess was that ...
2
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1
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Edge map based on a Haar Wavelet Transform
I have been implementing the paper Blur Detection for Digital Images Using Wavelet Transform and was asking myself how the following formula could reconstruct the edges given a Haar Wavelet ...
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How to locally quantify the 'sharpness' of an image?
I am trying to quantify how much sharpness (or acutance) is in a picture which has some bokeh (out of focus background).
I am using the Python scikit image for that. Here is my naive approach:
...
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3
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485
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Why does an image get blurry beyond a limit of zooming?
As we have came cross a phenomenon where a picture get blurry and more blurry as we zoom in a image beyond a limit.
Why does it happen?
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Measuring sharpness/contrast for autofocus
For the implementation of an auto-focus for the raspberry cam I need some measure of image sharpness. I used the following sample picture:
The first approach was to compute the shannon entropy of the ...
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What is the difference between convolution filter, low-pass filter, and median filter?
Isn't blur filters, like median filter, a type of convolution filter?
How does a low-pass filter relate to them?
Why does this guy differentiate convolution filters here from blur filters here?
user18425
2
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2
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Blending artifacts in OpenCV image stitching
I am using OpenCV to blend a set of pre-warped images. As input I have some 4-channel images (*.png or *.tif) from where I can extract a bgr image and an alpha mask with the region related to the ...
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966
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How to make a 2D gaussian Blur terms?
I want to make a 2D gaussian Blur coeffients.
Now I am making 1D gaussian Blur term as following.
...
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1
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How Does Gaussian Blur Affect Image Variance
I am trying to find a way to analytically estimate how the noise (or variance in pixel values) will be affected for a zero-frequency image of random noise after applying a Gaussian blur.
In more ...
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What is the most efficient way to perform Gaussian blurs for varying sizes of Gaussian kernels in an image?
I have detected corner points of images using Harris corner detector in GLSL and now, I intend on using Fast Retina Keypoint(FREAK) as keypoint descriptor to later match the keypoints between images.
...
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How to Calculate Gaussian Kernel for a Small Support Size?
How to calculate the values of Gaussian kernel? I think I understand the principle of it weighting the center pixel as the means, and those around it according to the $\sigma$ but what would each ...
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Isolate the non blurred part of foucsed image
I have an image taken by a mobile phone camera with focus on a part of it let say a face or whatever.
I want to know -approximately- where is the focused area. For example, a bounding box around the ...
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Gaussian Blur In MATLAB and Connection to Image Resolution
I am calling fspecial() in MATLAB to create a Guassian blur of an image.
For example,
...
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4
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Gaussian Blur - Standard Deviation, Radius and Kernel Size
I've implemented a gaussian blur fragment shader in GLSL. I understand the main concepts behind all of it: convolution, separation of x and y using linearity, multiple passes to increase radius...
I ...
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Gaussian Blur Detection
Let's say you have an original image and a version of the same image that may have been convoluted with a Gaussian blur. How could you demonstrate that the Gaussian blur has been applied and calculate ...
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853
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Deblurring algorithm to precede thresholding - speed over accuracy
I'm writing an app that recognizes Sudoku puzzles from a camera input. I'd like to remove camera blur from the images to improve recognition. Here is an example image:
Since I'm processing a ...
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Blurring Non-Uniform Areas
I have an image with arbitrary area (the boundary is shown in gray):
I would like to blur just the image within boundaries.
Ordinary blur causes the background proliferating to image and vice versa. ...
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Degraded image: Wiener Filter vs Wiener deconvolution
I am studying methods for recovering images (that has been blurred and noised).
Can someone explain the difference between:
http://en.wikipedia.org/wiki/Wiener_deconvolution
http://en.wikipedia.org/...
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2
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Deconvolution - Richardson Lucy vs. Wiener Filter
I am studying some deconvolution techniques, In order to remove motion blur, like:
Richardson-Lucy
Wiener
Are there any pros / cons of using one versus another?
For example which are the pros / cons ...
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3
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How do I remove motion blur?
Is there a generically accepted method of removing motion blur from an image. For a simple case, we can assume that motion happens in a straight line. I assume that it's a two part process composed of ...
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