Nowadays, the high dynamic range (HDR) imaging represents the subject of the most researches. The major problem lies in the implementation of the best algorithm to acquire the best video quality. In fact, the major constraint is to conceive an optimal fusion which must meet the rapid movement of video frames. The implemented merging algorithms were not quick enough to reconstitute the HDR video. In this paper, we detail each of the previous existing works before detailing our algorithm and presenting results from the acquired HDR images, tone mapped with various techniques. Our proposed algorithm guarantees a more enhanced and faster solution compared to the existing ones. In fact, it has the ability to calculate the saturation matrix related to the saturation rate of the neighboring pixels. The computed coefficients are affected respectively to each picture from the tested ones. This analysis provides faster and efficient results in terms of quality and brightness. The originality of our work remains on its processing method including the pixels saturation in the totality of the captured pictures and their combination in order to obtain the best pictures illustrating all the possible details. These parameters are computed for each zone depending on the contrast and the luminosity of the current pixel and its neighboring. The final HDR image’s coefficients are calculated dynamically ensuring the best image quality equilibrating the brightness and contrast values and making the perfect final image.
The tone mapping field represents a challenge for all the HDR researchers. Indeed, this field is very important since, it offers better display terms for the end-user. This paper details a design of a recent tone mapping operator used in high dynamic range imaging systems. The proposed operator represents a local method that uses an adaptable factor which combines both the average neighbouring contrast and the brightness difference. Thanks to that, this solution provides good results with better brightness, contrast, and visibility and without producing neither undesired artifacts nor shadow effects.
High Dynamic Range (HDR) imaging has been the subject of significant researches over the past years, the goal of acquiring the best cinema-quality HDR images of fast-moving scenes using an efficient merging algorithm has not yet been achieved. In fact, through the years, many efficient algorithms have been implemented and developed. However, they are not yet efficient since they don't treat all the situations and they have not enough speed to ensure fast HDR image reconstitution. In this paper, we will present a full comparative analyze and study of the available fusion algorithms. Also, we will implement our personal algorithm which can be more optimized and faster than the existed ones. We will also present our investigated algorithm that has the advantage to be more optimized than the existing ones. This merging algorithm is related to our hardware solution allowing us to obtain four pictures with different exposures.
Although High Dynamic Range (HDR) imaging has represented, in the recent years, the topic of important researches, it
has not reached yet an excellent level of the HDR scenes acquisition using the available components. Indeed, many solutions
have been proposed ranging from bracketing to the beamsplitter but none of these solutions is really consistent with
the moving scenes representing light’s level difference.
In this paper, we present an optical architecture, which exploits the stereoscopic cameras, ensuring the simultaneous
capture of four different exposures of the same image on four sensors with efficient use of the available light.
We also present a short description of the implemented fusion algorithm implemented.