محی الدین مرادی

This research proposes an appropriate tone mapping approach to obtain images with low dynamic range or LDR from images with high dynamic range or HDR. The proposed method uses a type of adaptive bilateral filter, where the spatial and range similarity parameters of the filter are determined separately for all pixels through the gradient map. By assigning larger similarity parameters to the pixels of the flat areas compared to the pixels of the non-flat or edge areas, the proposed filter is able to more accurately match the extreme changes of the pixels of the HDR images to reduce the effect of the bright pixels of HDR images on the adjacent dark areas and prevent halos in corresponding LDR images. Also, to prevent the possible distortion of the color components in the tone mapping operation, the V channel of the HSV color space has been used. To speed up the operation, the accelerated example of the proposed adaptive bilateral filter has been used. The results of this research confirm the effectiveness of the proposed algorithm in producing high-quality LDR images as well as the acceptable execution time compared to similar algorithms.

The robust carrier tracking is defined as the ability of a receiver to determine the phase and frequency of the input carrier signal in unusual conditions such as signal loss, input signal fading, high receiver dynamic, or other destructive effects of propagation. An implementation of tight tracking can be understood in terms of adopting a very narrow loop bandwidth that contradict with the requirements for tracking high user dynamics. Such a trade-off becomes the critical point and the main limitation of robust carrier tracking, since both noise rejection (and equivalently, recovery of the lost signal power) and agile carrier tracking must be appropriately balanced to avoid penalizing the performance criteria of the specific application under analysis. In practice, bandwidth must be adaptive so that with respect to input noise and dynamic values, optimal bandwidth could be chosen. In this article, first different carrier tracking systems is reviewed and their related features and applications are studied and determined. Then, with comparing existing methods it is shown that, the proposed intelligent type-2 neuro-fuzzy controllers in tracking system provide results that are more acceptable than others because of overcoming the uncertainties in the received carrier signal and environmental conditions.

Video text detection plays an important role in applications such as semantic-based video analysis، text information retrieval، archiving and so on. In this paper، we propose a Farsi/Arabic text detection approach. First، with an appropriate edge detector، edges are extracted and then by using edges cross ponts، artificial corners are extracted. Artificial corner histogram analysis is done for rejecting some non text corners. The discrete cosine transform (DCT) coefficients of input picture are extracted and texture intensity picture is created by combining appropriate coefficients. With combining artificial corners image and texture intensity image، a features vector is extracted and fed into support vector machine (SVM) classifier for detecting text regions. Finally with drawing normalized texture intensity profiles، final verification is done and text lines are sepersted from each others