An adaptive modification to the two-bit transform-based low-complexity block motion estimation approach is proposed. Initially, video frames are converted into two-bit representations using the two-bit transform (2BT), and binary block-based motion estimation is performed using these two bit-planes. Modification to the original 2BT-based motion estimation scheme is introduced by conditional loc...

Reversible data hiding can guarantee that the original image can be recovered from the marked image without any distortion. In this paper, an efficient multilevel reversible data hiding algorithm for video sequences is presented. Since the gray level distribution of the difference map is Laplacian, the peak point of the distribution thus leads into high data hiding capacity and good image quali...

In pulsed thermography the sample to test is briefly heated with a Dirac δ heat impulse and then observed through an infrared (IR) camera recording thermal images as the sample is cooling down. The difference of temperature on the IR images between the defective areas and the sound areas is referred to as a thermal contrast [1]. The Signal-to-Noise Ratio (SNR) of such a contrast is strongly aff...

[6]. ABSTRACT: The influence of different useful recording parameters in Fourier transform infrared spectra, on the signal-to-noise ratio is considered. We particularly studied the evolution of the signal to noise ratio with the spectral resolution, the transmission of different samples, the intensity of the background and the number of scans. This will allow an optimal extraction of spectral i...

Traditional Spread Transform Dither Modulation (ST-DM) is based on the fixed quantization step size, which does not exploit the features of the video contents. Spatio-temporal masking function represents the visual threshold under which human eyes are usually not sensitive. In this paper, we adopts not only the spatial contrast sensitivity function (CSF), the luminance masking function, the con...

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...