This Post contains videos and information about "Smart Telescopes". If you are planning to but "Smart Telescope", then watch the video before buying it! Some of the Smart Telescopes Seestar S50 Seestar S30 DWARF 3 To know more about the above kindly visit below Youtube channels links. https://www.youtube.com/@AstroForumSpace DWARF 3 VS Seestar S50 Smart Telescope Review + Tutorial https://www.youtube.com/@the_space_koala SeeStar S30 Tried & Tested - Does The Smallest Telescope Ever Measure Up to The S50? Credits- https://www.youtube.com/@AstroForumSpace https://www.youtube.com/@the_space_koala
In Astronomy, sometimes the images send by satellite/telescope could be Blur and one would be interested to make the image Sharpe. The Kernel (it is matrix representation) is to process the image -from Blur image to Sharpe Image. Convolution Matrix, Mask, Matrix/Array are the other names given to the Kernel. Below is the example of Mars Surface Blur Image Image Credit: NASA/JPL-Caltech Below is the processed image which has now become Sharpe Image Please open both images to see the effect.7 Below is the python code used. ****************************************************************** # load the required packages import cv2 import numpy as np # load the image into system memory image = cv2.imread('E:\\astronomy_related\\blurr_to_clear_image\\marssurface_blurr.jpg', flags=cv2.IMREAD_COLOR) # display the blurr image to the screen cv2.imshow('Mars Surface blurr...
In Astronomy, Image taken by cameras would be based on specific filters(channels)-Red, Green, Blue. Below are the the images taken across 3 channels. Red(Left), Green(Centre), Blue(Right) Original image credit(single image which is not shown here)- Credits: NASA, ESA, J. Hester and A. Loll (Arizona State University) Below is result after combining above 3 channel images Below is the python code used. Original Carb Nebula image is spitted into 3 channels(as shown 3 gray images above) *************************************************** from PIL import Image # Open the red, green, and blue channel images red_channel = Image.open('E:\\astronomy_related\\rbg_one\\red.png') green_channel=Image.open('E:\\astronomy_related\\rbg_one\\green.png') blue_channel =Image.open('E:\\astronomy_related\\rbg_one\\blue.png') # Create a new RGB image result = Image.merge("RGB", (red_channel, green_channel, blue_channel)) # Save the result image result.save('E:\\astr...
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