Multiparty Copyright Protection Scheme For Highly Secret Color Images Using Error Diffusion

Abstract

ABSTRACT newlineThe color visual cryptography techniques are free from the drawbacks of newlinerandomness on color images. The basic idea behind visual cryptography is error newlinediffusion and pixel synchronization. Error diffusion is an easy technique works to newlinefilter out the quantization error in each pixel level and supplied as an input to the next newlinepixel. The technique reveal low frequency is attained between input and output image newlineminimizing the quality image. Degradation of colors is avoided with the help of pixel newlinesynchronization. newlinePrivacy preservation plays a major role to provide an efficient newlinecommunication for the users. Several methods are employed for privacy preservation newlinescheme such as Secured Multiparty Computation (SMC), Data Transformation newlineTechnique (DTT) and Cryptographic Technique. Most of the recent works newlineconcentrated on SMC and DTT as the data mining sources are mainly distributed in newlinenature. But cryptographic techniques require more overhead for preserving privacy in newlinedistributed data mining context. All these existing techniques concentrated on data newlinesharing and not concerned about the privacy preservation between the participants on newlinedistributed data mining. The sharing of files across distributed file sharing newlineenvironment is inefficient due to the occurrence of error. newlineThe proposal presents an efficient Fourier transform and Texture newlineoverlapping scheme to enhance the image quality on restored original image from newlinevisual cryptic shares. Fourier transform and Texture overlapping scheme presents a newlinede-blurring effect on the non-uniform distribution of visual cryptic share. The newlinepurpose of utilizing Fourier transformation is to normalize the unevenly transformed newlineshare pixels on the original restored image. Fourier transform method uses discrete newlineFourier transform to improve the quality of restored visual cryptographic image to its newlineoptimality. The process of Texture overlapping is to overlap two or multiple portions newlineof visual cryptic, shares with homogeneity of pixel texture property on the restored newlineoriginal image. newlineTo address th