Research Journal of Engineering and Technology

Yogesh Rathore ¹, Avinash Dhole ¹, Ram Nivas Giri ¹

Affiliations
1 Department of Computer Science and Engineering, Raipur Institute of Technology, Raipur (C.G.) 492101, IN

Abstract

In this paper, we are proposing a fully automatic method for adding colors to grayscale images. In contrast to many previous computer-aided colorizing methods, which require intensive and accurate human intervention, this method needs only the user to provide a target gray level image for the process of 'colorization', a colorful image of the similar content as the grayscale image is automatically retrieved from the database of images, as an input source image. Then, the source and target image are both transformed into a perceptually de-correlated color space. In this color space a best matching source pixel is determined for each pixel of the target image. The matching criterion uses the first order statistics of the luminance distribution in a small window around the source and target pixels. Once a best matching source pixel is found, its chromaticity values are assigned (transferred) to the target pixel while the original luminance value of the target pixel is retained. The only requirement of the method is that the compositions of the source and target scenes resemble each other.

Keywords

Image Coloring, Image Retrieval, Color Transfer, Luminance Matching.

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Love Verma ¹, Ram Nivas Giri ¹

Affiliations
1 Department of Computer Science and Engineering, Raipur Institute of Technology, Raipur (C.G.) 492101, IN

Abstract

The traffic of digital images has grown rapidly in the Internet. Security of image becomes important for many sectors mainly for medical applications. Nowadays, the transmission of medical images is a daily routine; especially over wireless (battlefields, traffic accidents, etc).This work presents a hybrid algorithm that combines image encryption and watermarking technique for safe transmission purpose. This method is based on the combination of public private keys and secret key ciphering, and watermarking. The encryption algorithm with secret key is applied to the image. We encrypt the secret key with an encryption method based on public-private keys. Then, this secret key is embedded in the encrypted image. We have applied and showed the results of our method to medical images. We describe how it is possible to combine the techniques of encryption and watermarking in images. Indeed, we constructed a new method with encryption algorithm with secret key for the image, with encryption based on public private key for the secret key and with watermarking method.

Keywords

Image Encryption, Watermarking, Stream Cipher.

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