converting a base 64 string to an image and saving it
Here is my code:
image-processing
Generating image thumbnails in ASP.NET?
What is the fastest and more reliable way of generating thumbnails in .NET? I need to get any image, compress it in JPEG and resize it.
Crop/Remove Unwanted Space at the edges of image
I have search a lot to remove the unwanted space but could not found. I only found links which can used to remove black and white background space. But my background images can be anything. So, If I have these images,
Image upload without loss of quality
I have a user gallery at the site and it is possible for visitors to upload some images. After upload image should be resized to some predefined presets. In addition original image should be saved too. All works fine for png and bmp image formats. But if I upload gif format or jpeg with a predominance of one color uploaded original image seems to be compressed.
Easy way to clean metadata from an image?
I’m working on a service for a company project that handles image processing, and one of the methods is supposed to clean the metadata from an image passed to it.
Resize and Display image from server with ASP.NET
Got a question. I have images hosted on my server. I already know of the method when an image is uploaded to resize it and save, but I have another thought in mind.
How to detect an object that blends with the background?
I am a beginner and I am trying to apply an outline to the white remote control on the left that shares the same color with the background.
Remove everything of a specific color (with a color variation tolerance) from an image with Python
I have some text in blue #00a2e8, and some text in black on a PNG image (white background).
How to clean images before OCR with Python OpenCV?
I’ve been trying to clear images for OCR: (the lines)
Efficiently Using Multiple Numpy Slices for Random Image Cropping
I have a 4-D numpy array, with the first dimension representing the number of images in a data set, the second and third being the (equal) width and height, and the 4th being the number of channels (3). For example let’s say I have 4 color images that are 28*28, so my image data looks like this: