I work with bitmap images in pictureBoxes, and color some pixels. I wonder if it is possible to fill just half of pixel? If yes, how to perform it in C# ?
You can't set color of just half of a pixel in bitmap.
You may be looking for sub-pixel rendering where RGB colors of individual pixels on a LCD screen are adjusted separately or anti-aliasing where the color of pixels of single object essentially bleeds to nearby pixels to provide smoother edges.
Related
How can I create a bitmap that looks something like this?
Rectangle picture. Bottom is for dark colors. Top is for bright colors. Colors are changing from left to right.
I need to create my own color spectrum bitmap because (external)image files are often compressed and not showing the correct colors in particular pixels.
Is it possible to add transparency to a WriteableBitmap in Windows Phone 8.1 using C# / WinRT programmatically?
I've referenced the WriteableBitmapEx library in my project for image resizing and blitting, which is quite useful, and it could also possibly help with adding transparency or alpha channels/layers, but the documentation is not very thorough.
It might be better to have a method without using the WriteableBitmapEx library to achieve this, but whatever works... I've been searching this for a while and there's not much information on a basic solution.
The idea is that a user can select an image or graphic, and pin it to their start screen, and the app would make the background color transparent...probably white or black, or even by using the first X/Y coordinate color of the image's background.
Have you tried using the transparent colour with your WriteableBitmapEx? For example to clear the entire bitmap use:
writeableBitmap = new WriteableBitmap(200, 200, 96, 96, PixelFormats.Bgra32, null);
writeableBitmap.Clear(Colors.Transparent);
If you want to edit specific pixels yourself - you need to access the PixelBuffer property. I'm sure WriteableBitmapEx does it all the time. So does my toolkit here. I can't recall the pixel format right now, but I think it's like ARGB or P-ARGB? I'm likely confused here, but basically your pixel buffer is an array that has data for all the row of pixels with each pixel defined by 4 bytes, so a 2x2 bitmap will have something like ARGBARGBARGBARGB bytes where each letter is one of four pixel component values (0-255 with 0 for no color and 255 for all RGB being white). R is Red, G is Green, B is Blue and A is Alpha - opacity or transparency. In P- or Premultiplied- pixel formats - all of RGB values are additionally multiplied by the Alpha channel value for performance reasons (IIRC).
You'll need to loop through all your pixels and set the ARGB values according to your rules to add transparency where needed, possibly un-pre-multiplying and pre-multiplying RGB as needed.
I have a C# capture application that captures screenshot of an application and draws it to another window. Now I would like to set one color (or range) of the screenshot to be transparent and then draw it like that.
I am drawing the screenshot as sprite to 3d (directx9) surface using SharpDX.
How can I do this transparency?
When converting your screenshot to a texture, your colors should be defined by four values R,G,B,A. Alpha channel is responsible for transparency, so you should check if a color has a value / range that you want to cut out and change it's alpha value to 0.
It was a bit odd situation. My alpha modified pictures did not show up when draw:ing.
It was because I did not specify alphablend mode in .Begin-statement.
And I did not find any other way to do it than going through the whole bitmap and changing the alpha value one pixel at the time.
I've written a photo viewer, and I want to superimpose text over the photo. I want the font or font color to make the text as legible as possible on top of the bitmap, no matter what the underlying bitmap looks like.
My current thinking is to take the region of the bitmap where the text will appear, and make some kind of "overall color" calculation for that area, and then set the font color to be something correspondingly contrasting.
However, this math is way over my head. Has anybody seen a method for making this type of "what's the average color of all of these pixels" calculation? Or is that not even the best approach?
EDIT: I'm moving the second portion of this to another question.
You can use this to calculate average color of a region of bitmap:
How to calculate the average rgb color values of a bitmap
Do you store your image as a Bitmap?
You can also draw an outlined text. For example, white text with black outline. This will make text visible on most of backgrounds:
How to Drawing Text with Outline onto Images?
I am processing images to change their color from black to red, blue, green etc based on the requirement. I use SetPixel methods to change color of each pixel of the image from black to say red.
It works mostly fine except the borders and some curves within the image. Let's say I've circled image filled with black color. Circled image color is changed but still when I zoom, I can see blackish dots around border which is not completely replaced with red color. I tried to dig around and found that it has something to do with anti-aliasing.
Has anything faced similar problem or have thoughts/suggestions on how to fix this issue?
Many thanks in advnace for your help!
Regards,
Tanush
It can be related with anti-aliasing. Anti-aliasing essence is that the more pixel is closer to the edge (boundary of something) the more pixel color is blended with background color (or we can say that it is more 'transparent').
So the problem may be that you need not only to replace source color to destination color, but also pixels which were blended from source color to background color.
To achieve this you need:
1) Run edge detection algorithm of some kind - it may be simple or advanced as you want.
2) If pixel is near edge and pixel is near other pixel of your source color, then calculate it's opacity (1-transparency) factor- which will be
opacity = (pixel_color-background_color)/(source_color-background_color)
3) Now calculate your color to which you must replace current anti-aliased pixel:
new_color = background_color * (1-opacity) + opacity * target_color
And put this new_color instead of antialiased pixel.
In summary:
You need to detect antialiased pixels and replace them with your version of antialiased pixels.
Hardest part of algorithm is detection of antialiased pixels - because you can't be sure that you found all edge pixels with 100% probability. Also you can't be sure was pixel antialiased or was just made initially of such color). Because of this you may get some color noise in final product. But in any case it should be better than just sit and wait :)
good luck