In this memory a steganographic method for image protection on social network is developed. The method hides additional information such as a logo or serial number. Uploading the images on the social network has induced image degradation on the original images. Based on the analysis of this attack a method is developed based on the discrete cosine transform - DCT where additional information is hidden by modifying the coefficients in the cosine domain. The coefficient is chosen after thorough analysis based on Peak Signal to Noise Ratio (PSNR), Structuram Similarity Index (SSIM) and bit error rate (BER). It is concluded that the coefficients representing middle range of frequencies in the cosine domaine is best suited for modifications. The reason for this is that the modification of these frequencies does not degrade the picture enough for a human eye to see it but are still able to withstand various types of image attacks such as scaling, rotation, cropping and JPEG compression. The method was evaluated and it has shown that bit error rate (BER) for different attacks was below 1%. The method is implemented on 4 different hardware platforms using OpenCL and then tested for performance in speed and complexity of the implementation. Acceleration was based on creating a kernels for most time consuming functions DCT and iDCT.