jpeg2000

问题 Google recommends "Serve Images in Next-Gen Formats" and specifically mentions WebP, JPEG 2000 and JPEG XR, but then it doesn't provide support for 2 of them (JPEG 2000 and JPEG XR) in its own browser . Can someone please explain me why is this? 回答1: This is because there is support for those formats in other browsers not just Google Chrome. If all the users on the internet visited your website with Google Chrome then those formats would be insignificant to mention. Here is a free tool that

来源： https://stackoverflow.com/questions/7094101/converting-jpeg-2000-to-jpeg

来源： https://stackoverflow.com/questions/7094101/converting-jpeg-2000-to-jpeg

来源： https://stackoverflow.com/questions/63091001/unable-to-read-jpeg-2000-images-in-java-jai-error-file-too-long

来源： https://stackoverflow.com/questions/63091001/unable-to-read-jpeg-2000-images-in-java-jai-error-file-too-long

问题 I want to load a jpeg2000 image (.jp2) using Java JAI. I'm already using an older JAI version which still supports the jpeg2000. I downloaded these images from scihub.copernicus.eu. These files are rather big (up to 100 MB). I tried several different approaches: With java the standard way works like that: public class Main { public static void main(String[] args) throws IOException { String path = "C:\\temp\\B2.jp2"; File inputFile = new File(path); Image result = ImageIO.read(inputFile); } }

问题 From this list of examples, it seems that Kakadu is able to compress volumetric images along the z-direction by leveraging the multi-component transform (Part 2) of the JPEG 2000 standard. Specifically example (Aj). I tested it, it seems to work. I tried to modify the example above for an image of 1024 x 1024 x 128 pixels, I want to group slices in batches of 32 (or 64) and do a full DWT on the individual batches, but I fail. This is what I tried: kdu_compress -i img.rawl\*128@2097152 -o img

问题 I am looking for an SDK for (roughly) the following capabilities regarding JPEG2000 files – Decode and encode J2K files. Decode to access individual elements (boxes, marker segments, image stream, etc.) of JPEG2000 images for inspection and potential alteration of texts and bits. Encode (reconstruct) the JPEG2000 image with given elements. This is all done from within C++ applications. It must support 64-bit Redhat Linux OS. It should be able to handle J2K (JPEG2000) files as large as 16GB i

问题 I am downloading Sentinel-2 images with the following code import boto3 s3 = boto3.resource('s3', region_name='us-east-2') bucket = s3.Bucket('sentinel-s2-l1c') path = 'tiles/36/R/UU/2017/5/14/0/' object = bucket.Object(path + 'B02.jp2') object.download_file('B02.jp2') object = bucket.Object(path + 'B03.jp2') object.download_file('B03.jp2') object = bucket.Object(path + 'B04.jp2') object.download_file('B04.jp2') and I get 3 grayscale JP2 images on disk. Then I am trying to mix color layers

问题 I'm trying to set up Flask-IIIF to work with jp2 -files, or JPEG2000. Right out of the box I get an error from the Pillow library: IOError: decoder jpeg2k not available I've tried googling it, and one StackOverflow post told me to make sure libjpeg-dev and libjpeg8-dev are installed and up to date, but they were already installed. After making sure they were there, I did try to reinstall pillow without cache: pip install --no-cache-dir -I pillow The environment is Docker, based on a 15.10