PixelViewer version 3.1.4.802 has been released, offering an advanced image viewing experience across multiple platforms. This powerful tool is designed to read and accurately display various raw pixel data formats, including Luminance, YUV, RGB, ARGB, and Bayer.
With PixelViewer, users can effortlessly render images from raw pixel files, assessing dimensions based on file name, size, and format. It provides customizable options for pixel-stride, row-stride, and data offsets, granting users greater control over their images for enhanced refinement. Additionally, the software allows users to specify the color space for both the image and screen, including the option to import ICC profiles as custom color spaces, which helps in producing visually accurate images.
Users can also manipulate rendered images by rotating and scaling them, as well as navigating to specific frames within a file for precision. PixelViewer includes a variety of adjustment tools, allowing for modifications in R/G/B gain for Bayer formats, brightness, contrast, color balance, and highlight/shadow adjustments. These features are crucial for attaining high-quality, aesthetically pleasing images.
Moreover, PixelViewer supports histogram displays for R/G/B and luminance, along with demosaicing capabilities for Bayer formats, ensuring maximum image quality. Users can easily save their rendered images in popular formats such as PNG, JPEG, or BGRA, making sharing straightforward.
Overall, PixelViewer stands out as an exceptional tool for producing high-quality images efficiently. Its extensive features cater to both casual users and professionals seeking to enhance their image processing capabilities.
In addition to the features mentioned, future upgrades could potentially include enhanced support for additional file formats, integration with cloud services for seamless storage and sharing, and advanced AI-driven editing tools to further streamline the image enhancement process. This would position PixelViewer as an even more indispensable tool for creatives and professionals alike
With PixelViewer, users can effortlessly render images from raw pixel files, assessing dimensions based on file name, size, and format. It provides customizable options for pixel-stride, row-stride, and data offsets, granting users greater control over their images for enhanced refinement. Additionally, the software allows users to specify the color space for both the image and screen, including the option to import ICC profiles as custom color spaces, which helps in producing visually accurate images.
Users can also manipulate rendered images by rotating and scaling them, as well as navigating to specific frames within a file for precision. PixelViewer includes a variety of adjustment tools, allowing for modifications in R/G/B gain for Bayer formats, brightness, contrast, color balance, and highlight/shadow adjustments. These features are crucial for attaining high-quality, aesthetically pleasing images.
Moreover, PixelViewer supports histogram displays for R/G/B and luminance, along with demosaicing capabilities for Bayer formats, ensuring maximum image quality. Users can easily save their rendered images in popular formats such as PNG, JPEG, or BGRA, making sharing straightforward.
Overall, PixelViewer stands out as an exceptional tool for producing high-quality images efficiently. Its extensive features cater to both casual users and professionals seeking to enhance their image processing capabilities.
In addition to the features mentioned, future upgrades could potentially include enhanced support for additional file formats, integration with cloud services for seamless storage and sharing, and advanced AI-driven editing tools to further streamline the image enhancement process. This would position PixelViewer as an even more indispensable tool for creatives and professionals alike
PixelViewer 3.1.4.802 released
PixelViewer is a versatile multiplatform image viewer that has the ability to read raw Luminance, YUV, RGB, ARGB, and Bayer pixel data from files and display it accurately.
