I have been designing an app with oCanvas.js. It's a really nice canvas library that makes it much easier to create an app that can create and manipulate images, but I ran into a snag when I was trying to implement image filters:
I need transparent backgrounds so that I can have multiple layers, each of which is represented by its own display object, rendered separately (meaning one at a time) on a hidden "staging" canvas. Immediately after being rendered, a layer is then drawn on top of the previous layers on the visible canvas, so that different image filters can be applied to each layer independently during render.
The issue I am having is that, when attempting to extract the image from an oCanvas object's canvasElement, the resulting images never have a transparent background. For example: Imagine I have a 50x50 canvas that has been oCanvas.create() processed, but has display: none; (this is used as the rendering canvas) and another canvas (same dimensions) without an oCanvas instance. I am trying to do something like this (Pseudocode):
visibleCanvas.getContext("2d").drawImage(MyOcanvasCore.canvasElement, 0, 0);
I have also tried using URL = MyOcanvasCore.canvasElement.toDataURL() and then having my visibleCanvas do a drawImage with src=url.
The images always transfer, but they have a white background, even though I specify background: "transparent" during canvas.create(). As such, they completely overwrite all previous layers.
Do you have any tips for me? Am I doing it wrong? I tried transferring stuff from one canvas to another using classic drawRect, drawImage, etc methods, and transparency was retained. That's why I believe it is either the library or my code.
I guess you are using the image format other than png.
You should have your image format in PNG which keeps all the details of every pixel >including transparency of pixels
and not a compressed format.
So just try keep your image in png format after edting them in some image editor and save > result as .png .
Related
I have a couple of TJvImage components on my main form. One is loaded at design time from a partially transparent PNG file. The other is smaller than the first and in front of it. It is loaded at runtime with another partially transparent PNG file.
JvImage1.Picture.LoadFromFile ('Logo.png') ;
JvImage1.Transparent is set to TRUE. The problem is simple: the smaller image is rendered ignoring the alpha channel - i.e. it punches out the background image.
This does not occur when I load both images at design-time. They both show as partially transparent on the form, and display correctly when I run the program.
The real dilemma is that a minimal test program written to try to demonstrate the problem does not show the problem, but the same code in the application proper doesn't behave.
Is there anything about the underlying main form that could affect the behaviour?
I don't know if this is the same for TJvImage but when you set Transparent property of TImage to True it causes TImage to skip rendering any pixel with TransparentColor.
If no transparent color is set the color of lower left pixel is used.
When in such mode TImage doesen't take into accound alpha channel. Infact Transparency only works when you load TBitmap typed image into TImage.
I gues that TJvImage probably works in similar way. So in order to show your image properly you should set the Transparent property to False. This will probably alow TJvImage to render your picture by using Alpha transparency that is encoded to the picture itself.
I have a series of images that I would look to loop through using iOS's [UIView startAnimating]. My trouble is that, when I exported the images, they all came standard in a 240x160 size, although only 50x50 contains the actual image, the rest being transparent parts that are just taking up space.
When I set the frame of the image automatically using image.size.width and image.size.height, iOS takes into images' original size of 240x160, so I am unable to get a frame that conforms to the actual parts of the image. I was wondering if there is a way using Illustrator or Photoshop, or any other graphics editing software for me to export the images based on their natural dimensions, and not a fixed dimension. Thanks!
I am a fan of vector graphics and thinks everything in the world should be vector ;-) so here is what you do in illustrator: file - document setup - edit artboards. Then click on the image, and the artboard should adjust to the exact size. You can of course have multiple artboards, or simply operate with one artboard and however-many images.
I've seen many questions asking how to draw transparent images, but my case is quite the opposite. I have a TPicture where I load any file type, including PNG. I then read TPicture.Graphic and call Draw directly in a TBitmap's canvas. However, when the image is drawn, it carries over the transparency of the original PNG image.
The current code is very simple, just...
MyPicture.LoadFromFile(SomeFilename);
MyBitmap.Canvas.StretchDraw(SomeRect, MyPicture.Graphic);
Now the issue is that the canvas which I'm drawing to already has an image, and this PNG is being drawn over a portion of it. When the PNG has a transparent background, normally it appears white. However, since it's directly drawing a transparent graphic to the canvas, it keeps those areas transparent.
How can I draw a PNG Graphic directly to a canvas without its original transparency while using only the canvas drawing methods? I don't want to create too many graphic objects and draw too many times, hence the reason I only have 2 lines of code above. I'm hoping there's a way I can do something like BitBlt with some special mechanism for this purpose.
The only method pre-built in Delphi XE2 has a defect and doesn't work properly. Instead, draw whitespace, or whatever background you desire, to a blank canvas. Then draw the transparent image on top.
In case you aren't drawing onto a blank canvas, you can call FillRect method of the bitmap canvas for the region you're planning to draw the png.
i wonder, how i could figure out if an image has a transparency effect applied. Is there any way in JavaScript or HTML5? I have a Base64-coded image. Is there a way to read out the transparency-information (alpha-channel). For example, if i load a PNG-Image, then convert it to base64, then drop it to html5-canvas, now how can i know if this has transparency-effect activated?
thanx alot
okyo
When you say 'drop it to html5-canvas', I assume you mean using an image element with the 'data:' URI scheme. Also, let's take it as given that you don't want to write javascript code to parse the image files.
You could do something like this pseudo-code:
create 2 off-screen canvases
color one opaque white and the other opaque black
draw the image on both of them
call getImageData on each canvas, using the image bounds
compare the image data
If the image has any transparent or partially-transparent pixels, then presumably the two canvases will end up at least a little different. One exception would be if the image has the transparency feature enabled but is entirely opaque anyway. Another would be if the non-opaque pixels are only very slightly transparent - not enough to alter a white or black background. But this technique would catch images where transparency is noticeable.
I have over 100k in images that at one time were cropped and had a white border applied to them. I'm looking for the best way to programmaticly process each image so that I can detect the white borders and either crop the border or fill in the border with black instead. Would I need to use something like OpenCV or just plain old GDI? I've attached an image for reference.
What I have to work with (White borders are there, trust me):
http://cdn-images.hollywood.com/site/SO_3666231.jpg
Plain old GDI should work just fine, except for one thing - I don't know how to make GDI save an image back to a file. When I've had to do it in the past I've written a .BMP file in pieces, which wouldn't work for a JPEG. Time for a new question?
You're going to need a two step process - first measure the white borders, then copy the image to a new image to get rid of them.
Starting with a JPEG image introduces two small problems. First is that the image will contain some decoding artifacts, and white won't always be an RGB value of (255,255,255). You'll need to establish a threshold, such as (250,250,250) and see how that works; if it doesn't catch all of the borders, you'll need to try a lower threshold. Second is that resaving the image as a JPEG will introduce additional artifacts, lowering the quality of the image. Hopefully this will be within acceptable limits, but only you can be the judge of that.
I'm sorry that this isn't really an answer, perhaps more like 1/4 of an answer. I hope you find it useful.