noise

How to remove grainy details from an image [duplicate]

匆匆过客 提交于 2019-12-02 16:58:58
问题 This question already has answers here : Best method to find edge of noise image (2 answers) Closed 3 years ago . I have used adapthisteq to improve the visibility of the foreground objects. However, this seems to have created grainy noisy details. How can I remove these grainy details from the image? I have tried Gaussian blurring through imgaussfilt and while it does remove some of the grainy details, the shape of the cells in the image become less defined. The second image shows the binary

Any Simplex Noise Tutorials or Resources? [closed]

喜欢而已 提交于 2019-12-02 15:55:45
I want to create a terrain-like 3D noise generator and after doing some research I came to the conclusion that Simplex Noise is by far the best type of noise to do this. I find the name quite misleading though as I have a lot of trouble finding resources on the subject and the resources I find are often not well written. What I am basically looking for is a good resource/tutorial explaining step by step how simplex noise works, and explains how to implement that into a program. I am not looking for resources explaining how to use a library or something. Richard Tingle In lue of a tutorial

filtering/removing noise

烈酒焚心 提交于 2019-12-02 14:44:57
问题 The question is simple. How do I go about removing noise from data? I have made up some x and y values along with some noise that is a gross simplification of the data I am dealing with (apart from the random noise I cannot make that the same as the noise I have to deal with). I don't really know if I need to filter or smooth. My file contains two sets of data that need to be plotted and there is experimental noise in this data, what is the best way to remove it? smoothing or filtering? I

Uncompilable source code - Erroneous sym type: java.io.File.getSampleV

為{幸葍}努か 提交于 2019-12-02 13:39:43
import java.io.File; import java.io.FileInputStream; //import javax.swing.JFrame; public class filterpanitha { //public void graph(){ //} /** * @param args */ public static void main(String[] args) { // First, get the data from a sound file in .wav format into your program // You will have to modify the following line to point to your own file // String fileName = "C:\\Huhns\\Teaching\\CSCE145\\Code\\Noise3\\preamble.wav"; FileInputStream fileInputStream = null; File file = new File("C:\\Users\\sudharshan_03713\\Desktop\\audio\\1A5.wav"); // Next, print the sound to find out its length in

Smoothing noises with different amplitudes (Part 2)

核能气质少年 提交于 2019-12-02 12:03:55
问题 Well, I'm continuing this question without answer (Smoothing random noises with different amplitudes) and I have another question. I have opted to use the contour/shadow of a shape (Translating/transforming? list of points from its center with an offset/distance). This contour/shadow is bigger than the current path. I used this repository (https://github.com/n-yoda/unity-vertex-effects) to recreate the shadow. And this works pretty well, except for one fact. To know the height of all points

Airplane mode on iPod Touch — revisited

做~自己de王妃 提交于 2019-12-02 11:16:29
问题 The situation is this: We have an app that records sound. If the app is running on a second generation iPod Touch and airplane mode is OFF then there are periodic noises that end up in the recording due to the WIFI activity of the iPod. So I want to detect that we're running on a second generation iPod Touch (which I know how to do), and, if so, tell the user to turn on airplane mode, if it's not already on. Note that it's NOT SUFFICIENT to simply know that WIFI is unreachable as the iPod

How to remove grainy details from an image [duplicate]

落花浮王杯 提交于 2019-12-02 08:31:06
This question already has an answer here: Best method to find edge of noise image 2 answers I have used adapthisteq to improve the visibility of the foreground objects. However, this seems to have created grainy noisy details. How can I remove these grainy details from the image? I have tried Gaussian blurring through imgaussfilt and while it does remove some of the grainy details, the shape of the cells in the image become less defined. The second image shows the binary image of the first image. You can use a filter that takes into consideration the edge information like bilateral filter.

OpenCV how to smooth contour, reducing noise

不羁岁月 提交于 2019-12-02 04:00:35
问题 I extracted the contours of an image, that you can see here: However, it has some noise. How can I smooth the noise? I did a close up to make clearer what I want to meant Original image that I've used: Code: rMaskgray = cv2.imread('redmask.jpg', cv2.CV_LOAD_IMAGE_GRAYSCALE) (thresh, binRed) = cv2.threshold(rMaskgray, 50, 255, cv2.THRESH_BINARY) Rcontours, hier_r = cv2.findContours(binRed,cv2.RETR_CCOMP,cv2.CHAIN_APPROX_SIMPLE) r_areas = [cv2.contourArea(c) for c in Rcontours] max_rarea = np

android noise effect on bitmap

喜夏-厌秋 提交于 2019-12-02 00:07:49
问题 I am writing some function to add noise effect on bitmap. I found similar question: Add noise effect to a drawing Bitmap outputBitmap = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Bitmap.Config.ARGB_8888); BitmapShader shader = new BitmapShader (bitmap, TileMode.REPEAT, TileMode.REPEAT); Paint paint = new Paint(); paint.setShader(shader); Canvas c = new Canvas(outputBitmap); c.drawBitmap(bitmap, 0, 0, paint); How should i add color filter to get such a result? Could you provide

android noise effect on bitmap

走远了吗. 提交于 2019-12-01 22:08:23
I am writing some function to add noise effect on bitmap. I found similar question: Add noise effect to a drawing Bitmap outputBitmap = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Bitmap.Config.ARGB_8888); BitmapShader shader = new BitmapShader (bitmap, TileMode.REPEAT, TileMode.REPEAT); Paint paint = new Paint(); paint.setShader(shader); Canvas c = new Canvas(outputBitmap); c.drawBitmap(bitmap, 0, 0, paint); How should i add color filter to get such a result? Could you provide somple code? i suggested that use this code. public static final int COLOR_MIN = 0x00; public static