jpeg2000

Free JPEG2000 Library or SDK for de-compression [closed]

非 Y 不嫁゛ 提交于 2019-12-07 02:48:57
问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . I have written code to compress and decompress image files using a proprietary SDK for transmission from an aircraft via satellite.

Discrete Wavelet Transform LeGal 5/3 with Lifting (negative values, visualizing, LH HL confusion)

末鹿安然 提交于 2019-12-07 01:21:35
问题 I am currently diving into Wavelets and are a bit confused about certain things. First of all, this is NOT homework. Its for recreational coding only. In order to gain a better understanding, I implemented the lifting-scheme for the LeGal 5/3 wavelet in C. As far as I can see, it seems to work. I can reverse it and the original images is reproduced correctly. In pseudo-code, my forward dwt looks like this: // deinterleave splits the low band from the high band // (e.g. 1 0 3 0 6 0 8 1 11

Encoding image into Jpeg2000 using Distributed Computing like Hadoop

烈酒焚心 提交于 2019-12-06 15:40:35
问题 Just wondering if anybody has done/aware about encoding/compressing large image into JPEG2000 format using Hadoop ? There is also this http://code.google.com/p/matsu-project/ which uses map reduce to process the image. Image size is about 1TB+ and on single machine it takes 100Hour+ 回答1: How large of an image are you talking about? From the JPEG 2000 Wikipedia page it seems that the tiling and wavelet transformations should be easily parallelizable -- the tiles appear to be independent of

Pillow and JPEG2000: decoder jpeg2k not available

假如想象 提交于 2019-12-05 19:23:37
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 Ubuntu image. Python version is 2.7.10 . Pillow version from pip freeze is 4.1.1 edit: I also tried the

Free JPEG2000 Library or SDK for de-compression [closed]

百般思念 提交于 2019-12-05 07:27:00
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . I have written code to compress and decompress image files using a proprietary SDK for transmission from an aircraft via satellite. Unfortunately a license must be purchased for decompression as well as compression. Until now my

Discrete Wavelet Transform LeGal 5/3 with Lifting (negative values, visualizing, LH HL confusion)

ε祈祈猫儿з 提交于 2019-12-05 04:52:30
I am currently diving into Wavelets and are a bit confused about certain things. First of all, this is NOT homework. Its for recreational coding only. In order to gain a better understanding, I implemented the lifting-scheme for the LeGal 5/3 wavelet in C. As far as I can see, it seems to work. I can reverse it and the original images is reproduced correctly. In pseudo-code, my forward dwt looks like this: // deinterleave splits the low band from the high band // (e.g. 1 0 3 0 6 0 8 1 11 becomes 1 3 6 8 11 | 0 0 0 1) for each row in image: dwt1d(row) deinterleave(row) for each col in image:

Python open jp2 medical images - Scipy, glymur

痴心易碎 提交于 2019-12-05 03:03:11
I am trying to read and tile a jp2 image file. The image is RGB 98176 x 80656 pixels (it is medical image data). When trying to read the image with glymur I get this error: glymur.lib.openjp2.OpenJPEGLibraryError: OpenJPEG library error: Prevent buffer overflow (x1: 80656, y1: 98176) I understand the image is too big. What I need is to read the image data by tiles and save them elsewhere and in another format. Glymur allows me to read the header using python, so for instance, the code stream is: >>> print(codestream.segment[1]) SIZ marker segment @ (87, 47) Profile: no profile Reference Grid

Getting pixel data from a PythonMagick image?

感情迁移 提交于 2019-12-04 14:33:37
问题 Does anyone know a way get the pixel data from a PythonMagick.Image instance without having to write it to disk first? For instance, I can read in an image using: import PythonMagick im = PythonMagick.Image('image.jp2') I would now like to be able to get the uncompressed image data so that I can use it in something else like NumPy or matplotlib, but I can't seem to find any way to do this. I would just use matplotlib or PIL directly but the image format I'm reading in is JPEG 2000 which is

How do I convert UIImage to J2K (JPEG2000) in iOS?

故事扮演 提交于 2019-12-04 09:39:49
I have managed to get OpenJPEG to compile in my iOS app, but I have no clue where to begin trying to convert a UIImage to a J2K file or J2K in memory buffer. Suggestions? Apparently ImageIO can do this. You'll need to add image io framework to your project and then this code is working for me: #import <ImageIO/ImageIO.h> // or @import ImageIO if modules enabled #import <MobileCoreServices/MobileCoreServices.h> // ... // quality is 0-1 (0 = smallest file size, 1 = lossless quality) + (NSData*) convertToJPEG2000:(UIImage*)image withQuality:(float)quality { NSMutableData* d = [NSMutableData data]

Getting pixel data from a PythonMagick image?

不打扰是莪最后的温柔 提交于 2019-12-03 09:01:11
Does anyone know a way get the pixel data from a PythonMagick.Image instance without having to write it to disk first? For instance, I can read in an image using: import PythonMagick im = PythonMagick.Image('image.jp2') I would now like to be able to get the uncompressed image data so that I can use it in something else like NumPy or matplotlib, but I can't seem to find any way to do this. I would just use matplotlib or PIL directly but the image format I'm reading in is JPEG 2000 which is only supported by PythonMagick as far as I know. Any suggestions? Disclaimer : I don't have PythonMagick