![]() Based on the mechanical vibration models, a family of bases applicable to data compression is constructed. It could be enabled by adopting a transform inspired by natural phenomena. Single clocked architecture, use of clock enabling logic and resource sharing in time reduced power consumption to less than 1 watt.Įfficient source coding is desired for any data storage and transmission. Our decoder is implemented in Xilinx VC707 board and achieved the decoding performance of 4K HDR frames at 30fps while consuming only 7K of LUTs, 12K of Registers and 1980Kb of block memory. We employ novel methods for merged base and residual layer decoding pipelines, design of probability-based hybrid Huffman lookup table architecture and sparsity aware inverse zigzag processing. Given the power and memory efficiency of the hardware decoders, in this paper we propose JPEG-XT Profile C based hardware architecture to decode 4K HDR frames in real-time. Decoding 4K HDR frames at VR devices in real-time is a challenge. The efficient transmission of these scenes through wireless network requires the use of compression techniques. Cloud and workstations are capable of rendering 4K HDR scenes in real-time with ease. Wireless VR headsets are attractive as it offers freedom on mobility and higher user comfort. Quad High Definition (QHD/4K) Virtual Reality (VR) Headsets with High Dynamic Range (HDR) technology will provide a superior experience to users. Experimental results using various sample images show the superiority of the proposed method in terms of objective and visual evaluations. The proposed method adaptively predicts the HDR pixel value using a different prediction information for each block based on the ratio between the LDR and HDR blocks, which is invariant to the tone-mapping operator, while the existing JPEG XT profiles globally predict the HDR values using an inverse transformation of the LDR values. This study proposes a new imagecoding scheme that uses a region adaptive prediction method with modified current specifications on JPEG XT Part 7. To date, three profiles have been defined for JPEG XT to encode HDR images, which are represented using floating-point values. ![]() Most importantly, the base layer contains a tone-mapped LDR version of the HDR image for compliance with a legacy JPEG decoder. Both layers are independently encoded by a legacy JPEG encoder. JPEG XT consists of a base and a residual layer. Accordingly, JPEG XT, a new HDR image coding standard providing JPEG backward compatibility was established by the JPEG committee based on the market needs. However, the majority of today's digital imaging devices are still low dynamic range (LDR) using an 8-bit representation for each RGB color components hence, a backward-compatible HDR image format with an existing LDR-based imaging environment is required. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."ĭisplays capable of representing high-dynamic range (HDR) images were recently released in the digital consumer electronics market, and consumers have become increasingly interested in HDR images. Personal use of this material is permitted. This trend calls for a widely accepted standard for higher bit depth support that can be seamlessly integrated into existing products and applications. ![]() BT.2020 ) rather than the historical ITU-R Rec. Rendering devices are also appearing with the capability to display HDR images and video with a peak brightness of up to 4,000 nits and to support WCG (ITU-R Rec. Consumer cameras are currently available with a 14- or 16-bit analog-to-digital converter. WCG leverages HDR for each color channel to display a wider range of colors. At the industrial level, we are witnessing increasing traction toward supporting HDR and wide color gamut (WCG). An example of the increasing interest for high-dynamic range (HDR) imaging is the use of 32-bit floating point data for video and image acquisition and manipulation that allows a variety of visual effects that closely mimic the real-world visual experience of the end user (see Figure 1). High bit depth data acquisition and manipulation have been largely studied at the academic level over the last 15 years and are rapidly attracting interest at the industrial level.
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