May 22, 2014 · Section 2.2 describes the design process of the adaptive weighting function for BP-HDR image reconstruction. In Section 3, experimental results ...
Oct 22, 2024 · In this paper, we propose an HDR image reconstruction method which reduces the impact of the noise factors and prevents ghost artifacts. To ...
In this paper, we propose an HDR image reconstruction method which reduces the impact of the noise factors and prevents ghost artifacts. To reduce the influence ...
The proposed HDR image reconstruction method reduces the impact of the noise factors and prevents ghost artifacts, and works directly on the Bayer raw image ...
Abstract. It is not easy to acquire a desired high dynamic range (HDR) image directly from a camera due to the limited dynamic range of most image sensors.
Figure 5: Proposed weighting function for reliability of the data.(a). Bayer patterned high dynamic range image reconstruction using adaptive weighting function.
FIGURE 4.6: Response curves reconstructed with the Robertson, Borman, and Stevenson algorithm with different values of the weighting function. (a) degree 3.
Bayer patterned high dynamic range image reconstruction using adaptive weighting function. It is not easy to acquire a desired high dynamic range (HDR) image ...
An image is transferred to PC in which every object of the scene is displayed properly. The basic structure of the design is shown in Fig. 382 (here for a Bayer ...
Missing: reconstruction | Show results with:reconstruction
Our method first packs Raw images with size H × W into four channels representing RGBG pixels in Bayer pattern, and obtains a H/2 × W/2 × 4 in- put image IRGBG.