Name
Title | ||
|---|---|---|
A real-time implementation of gradient domain high dynamic range compression using a local Poisson solver |
Abstract | ||
|---|---|---|
This paper presents a real-time hardware implementation of a gradient domain dynamic range compression algorithm for high dynamic range (HDR) images. This technique works by calculating the gradients of the HDR image, manipulating those gradients, and reconstructing an output low dynamic range image that corresponds to the manipulated gradients. Reconstruction involves solving the Poisson equation. We propose a Poisson solver that utilizes only local information around each pixel along with special boundary conditions, and requires a small and fixed amount of hardware for any image size, with no need to buffer the entire image. The hardware implementation is described in VHDL and synthesized for a field programmable gate array (FPGA) device. The maximum operating frequency achieved is fast enough to process high dynamic range videos with one megapixel per frame at a rate of about 100 frames per second. The hardware is tested on standard HDR images from the Debevec library. The output images produced have good visual quality. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s11554-011-0198-5 | J. Real-Time Image Processing |
Keywords | Field | DocType |
local poisson solver,real-time implementation,hardware implementation,gradient domain,high dynamic range,hdr image,real-time hardware implementation,entire image,output image,dynamic range compression algorithm,high dynamic range video,image size,gradient domain dynamic range compressiontone mapping operatorpoisson equation � real timeembedded hardware,high dynamic range compression,output low dynamic range,real time,poisson equation | Poisson's equation,Computer science,Computational science,Artificial intelligence,Computer vision,Mathematical optimization,Field-programmable gate array,Frame rate,Pixel,VHDL,High dynamic range,Image resolution,Dynamic range compression | Journal |
Volume | Issue | ISSN |
8 | 2 | 1861-8219 |
Citations | PageRank | References |
13 | 0.61 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lavanya Vytla | 1 | 13 | 0.61 |
| Firas Hassan | 2 | 41 | 3.14 |
| Joan E. Carletta | 3 | 49 | 2.67 |