In order to provide this support, the API has exposed DjvuImage class along with many new helping classes, method & properties whose details are available in the Public API Changes section. With this release, the API has provided the support for loading DjVu files for possible conversion to raster image formats as well as PDF. DjVu format can also be considered as a superior alternative to PDF for digital documents, to TIFF for scanned bitonal documents, to JPEG and JPEG2000 for photographs and pictures, and to GIF for large palatalized images. DjVu file format is becoming popular as an alternative to PDF because it has smaller file size as compared to PDF.
Now, the Color is represented as 32-bit ARGB integer structure where there are 4 color channels stored in the order of ARGB. Since this release, the API has added new interfaces and methods which are available in public API as well as being used internally for core processing. This schema proved to be the performance bottleneck in scenarios where images having huge dimensions have to be processed, reason being the image required more memory to process and hence more time to flush the data. Previously, the imaging core used the array to store the pixel information due to which each pixel had to occupy 24 bytes in the memory. With these changes in place, the latest revision is less resource consuming and more efficient as compared to any of its predecessors. NET API has improved the imaging core for performance considerations by converting the internal structure to utilize the byte array instead of the array. Moreover, this release has provided the support for the famous DjVu file format. This month?s release contains many useful improvements where the most worth mentioning enhancement is the new improved imaging core. We are pleased to announce the new release of Aspose.Imaging for. Convert DjVu to PDF, Multi Frame Raster Formats & Improved Imaging Core in.
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