Особенность нового программного обеспечения заключается в использовании алгоритма de-ghosting и Brightness Histogram для расширенного редактирования ярких и темных участков изображения.реди новых функций - интерактивная HDR-гистограмма, считывание цифровых данных о цветах, множество функций для работы с тенями и оттенками, плагины для Adobe Lightroom и Apple Aperture и обновленный интуитивно-понятный интерфейс.
Кроме появления новых функций, в HDR Expose улучшено и доработано множество возможностей доступных в программе-предшественнике. В частности:
Полностью обновлен интерфейс
Улучшен процесс обработки RAW-файлов
Добавлена возможность регулировки цветов по каналам
Новые сценарии работы упрощают пакетную обработку изображений и сохранение отобранных.
Улучшена производительность программы благодаря использованию технологии OpenCL GPU
Новые инструменты уменьшения ореолов и локального управления контрастностью позволяют добиться более эффективных результатов обработки.
Также доступен plug-in, позволяющий экспортировать изображения из Raw-конвертеров сторонних производителей.
ОС: WinAll
Язык: англ
Create crisp, photo-realistic High Dynamic Range images
Operate in full 32-bit color precision
Easily fits in your workflow as Stand Alone, Aperture, Lightroom, or Photoshop plug-in
HDR Photography Beyond Your Imagination – HDR Expose and 32 Float
Capturing a high contrast scene has always vexed photographers. We’ve all tried neutral density filters for landscapes and lighting equipment for interior shots in order to balance the wide range of light levels in our scenes. The results could be good but the work to get to the final image was intense. No longer!
Capturing high contrast scenes is now as simple as shooting three or more images of varying exposures and then merging those images into one high dynamic range file that reveals all your all shadows and highlights. The magic is done with HDR software. But, not all HDR software is created equal.
Previously, HDR applications performed their contrast manipulation or "tone-mapping" by creating an 8-bit or 16-bit image. Using an 8-bit or 16-bit file to create a large, high dynamic range file significantly reduces the file’s dynamic range, clips its color range and degrades the precision of image data.
That’s why we created our stand-alone HDR application HDR Expose and the Photoshop plug-in 32 Float. These are the only HDR applications that merge multiple exposures into a full 32-bit file using our patented Beyond RGB™ color model. And, most importantly, these are the only HDR photo editing applications where all tools and operations work in 32-bit, floating-point precision.
Creating an HDR Image – One Click or Total Control
HDR Expose uses powerful image alignment algorithms to create an HDR image from multiple exposures. The resulting 32-bit image is then ready to have its wide contrast range adjusted to fit into the contrast range of your output device. Unlike other HDR applications which "tone-map" their 8-bit or 16-bit image into a useable range, HDR Expose takes all the valuable data in your HDR image and "dynamic range maps" it into a file that retains naturally clear highlights, vibrant mid-tones and beautifully open shadows.
HDR Expose can do this for you with a single click using the Dynamic Range Mapping tool. You can also choose to have full control over the mapping process by individually adjusting the image’s dynamic range, brightness, highlight power and shadow power. And, HDR Expose gives you the ability to tweak colors, saturation and noise levels as well. With these powerful tools you can dial in a beautifully natural HDR image or a highly stylized image depending on your artistic vision.
Advantages of Working in 32-bit Mode in the Beyond RGB Color Space
In digital photography the colors and brightness of each pixel are recorded as binary numbers. Depending on the power of your image editing application the numbers used to describe those pixels are restricted to 8-bits (256) or 16-bits (65,535). Naturally, the more numbers you have available to you the more variation you can describe in each pixel. The more variation that you can describe, the richer and more detailed your digital image will be.
Because color information is restricted to at most 16 bits in the RGB space used in most image editing applications and output devices, RGB is inherently a restricted color model — it is a restricted color space that cannot describe all the colors that can be seen by the human eye.
Imagine the tonal variations available to you by working in 32-bit floating point mode in the Beyond RGB color space, the basis of HDR Expose and 32 Float. The Beyond RGB color space brings all the colors your eye can see to the task of creating your HRD photography image.
Because the 32-bit floating point Beyond RGB color model is not based on the RGB model, the brightness and contrast changes made to your image in HDR Expose or 32 Float will not alter your original colors as you would in an 8-bit or 16-bit program.
In fact, every tool and operation in HDR Expose and 32 Float always works in the high-precision 32-bit floating point mode. This is why many pro photographers are using HDR Expose and 32 Float to perform non-color-destructive brightness, contrast and color adjustments to their non-HDR images. These pros create their images from RAW camera files and save out their files in 32-bit format as a base reference file before moving on to Photoshop or other programs for further editing. Why lose data before you have to? Why lose data at all?

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