In this paper, a new secret data hiding and communication is proposed for natural images.in this proposed methodology. The aim of steganography is to hide an information message within harmless cover medium in such way that it's not possible even to observe that secrete message. It doesn't replace cryptography however rather boosts the security using its obscurity options. In the projected its obscurity features. In the proposed algorithm we have used second order differential equation to hide the data which improve the security level of hidden data. In encryption, information is transformed in such a way that it cannot be detect by hacker. But during encryption, message is changed so it become distorted and intruder may suspect about the presence of important information. For this skin tone detection is performed using HSV (Hue, Saturation and Value) color space. Additionally secret data embedding is performed victimization frequency domain approach-DWT (Discrete wavelet Transform), DWT outperforms than DCT (Discrete cosine Transform). Secret information is hidden in one of the high frequency sub-band of DWT by tracing skin pixels therein sub-band. Totally different steps of data hiding are applied by cropping a picture interactively. The output of our technique provides higher results because with the assistance of cropping an increased security than hiding data while not cropping i.e. in whole image, thus cropped region works as a key at decryption aspect. thus with this object destined steganography we have a tendency to track skin tone objects in image with the higher security and satisfactory PSNR (Peak-Signal-to-Noise Ratio).Modern steganography's goal is to stay its more presence undetectable.
OFDM system is the stronger base for the future wir eless c o m m u n i c a t i o n . The one w i t h the lowest peak to average power ratio (PAPR) among these OFDM signal sequences are selected for transmission. One major Disadvantage of OFDM is the high peak-to-average Power ratio (PAPR). One investigated technique Selected Mapping (SLM) is PAPR reduction techniques for Orthogonal Frequency Division Multiplexing (OFDM). By analyzing separation of complex baseband signal in this paper we proposed a Modernize SLM algorithm (MSLM) scheme to reduce the PAPR by using the complex signal to separate into real & imaginary parts and use as a individually phase sequence multiply real part as well as imaginary part of complex signal. Finally select the minimum PAPR signal which is achieved by real & imaginary part and then combine both of the approach and find one of the lowest peak to average power ratio among these OFDM signal sequences for transmission. After applying different simulation on the MATLAB software it produces less complexity and improved performance.
In this paper we are introduced newly but powerful and less noisy peak to average power reduction techniques for Orthogonal Frequency Division Multiplexing (OFDM). These two techniques are comparing and show its results. One investigated technique is Threshold selected mapping (TSLM).In this scheme the transmitted signal is minimum PAPR by thresholding a selected signal from a set of signals and the another investigated technique is modernized selected mapping (MSLM). In this scheme the transmit signal is separate in two part real and imaginary then selected from minimum PAR of each set of signals. This real and imaginary combined. They both techniques introduce some computational complexity. The comparisons of TSLM and MSLM schemes are by simulation results.
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