Digital Image Processing

A. Kalai Selvi ¹, M. Mohamed Sathik ²

Affiliations
1 MCA Dept., PET Engineering College, Vallioor, IN
2 Sadakathullah Appa College, Tirunelveli, IN

Abstract

In open network Encryption is used to transmit data securely. Each type of data has its own features, therefore to protect confidential image data from unauthorized access different techniques should be used. A framework is presented in this paper to evaluate image encryption schemes. A number of parameters such as correlation coefficient, information Entropy and a number of pixel change rate are used to quantify the security of encrypted images instead of visual inspection. Encryption efficiency analysis and security evaluation of some schemes like Zonal Transformation Matrix Method and Primitive Root Based Image Encryption schemes are presented. Experimental results demonstrate that the Zonal Transformation Matrix Method provides effective performance and security compared to primitive ischolar_main based encryption scheme.

Keywords

Encryption, Zonal Transformation Matrix, Primitive Root Theorem.

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A. Kalai Selvi ¹, M. Mohamed Sathik ²

Affiliations
1 MCA Dept., PET Engineering College, Vallioor, IN
2 Sadakathullah Appa College, Tirunelveli, IN

Abstract

With the fast development of data exchange in electronic system, safety of information is becoming more important in data storage and transmits. Because of commonly using images in industrial practice, it is very important to protect the confidential data from unauthorized access. This paper suggests that image encryption and decryption process based on block based encryption. The algorithms consider here are zonal based image encryption and primitive ischolar_main based image encryption. The zone based image encryption is working based on the principle of zonal transformation matrix, whereas primitive ischolar_main based image encryption is based on the principle of primitive ischolar_main theorem. The attribute considered for the comparative study are information entropy and average deviation analysis. Experimental results demonstrate that the zone based image encryption method provides effective performance compared to primitive ischolar_main based encryption method.

Keywords

Encryption, Decryption, Transformation Matrix, Primitive Root Theorem.

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M. Mohamed Sathik ¹, K. Senthamarai Kannan ², Y. Jacob Vetha Raj ²

Affiliations
1 Sadakathullah Appa College, Tirunelveli, IN
2 Manonmaniam Sundaranar University, Tirunelveli, IN

Abstract

The focus of the image is normally at the center of the photograph. The images with objects with different distance have the problem of lacking focus on some of the objects. In order to overcome this problem, a simple and effective method is proposed. The proposed method may be incorporated in a digital camera to capture images with different focuses of the same image. Then these images can be fused together to get a hybrid image with the details of focused area of all the images of a frame. Initially the RGB color images with different focuses of the same image are captured and converted to gray images. These images are subjected to a filtering operation with an overlapping window of order 3x3. The filtering operation finds the maximum difference of the center pixel with the neighboring eight pixels. A sliding window of order n x n is selected in all the images, the sum of the magnitude values of the difference are computed. The block in the image with higher block sum is selected and is fused with hybrid image. This hybrid image will have more details compared to the ordinary high quality image with single focus. The hybrid image generated helps in inspection to extract more details.

Keywords

Camera Automation, Edge Detection, Filtering, Image Fusion.

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M. Mohamed Sathik ¹, K. Senthamarai Kannan ², Y. Jacob Vetha Raj ²

Affiliations
1 Department of Computer Science, Sadakathullah Appa College, Tirunelveli, IN
2 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN

Abstract

Color Filter Arrays (CFAs) are used in Single sensor cameras to capture the images. The sensors in a CFA are arranged based on Bayer pattern to capture any one of the Red, Green or Blue components of a pixel. The image captured by this type of CFAs is known as mosaic image. The compression ratios achieved while compressing these mosaic images are normally low for all the classical compression methods. Different strategy has to be adopted for compressing mosaic images due to the roughness caused by interleaving of components. This paper proposes a hybrid method by which the mosaic images are compressed by preserving the main subject after segmenting using histogram. The background of the image is stored with some level of loss. Compression ratio is increased by using the proposed hybrid method than the existing methods.

Keywords

Image Compression, Mosaic Image, Segmentation.

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M. Mohamed Sathik ¹, A. Kalai Selvi ²

Affiliations
1 Sadakathullah Appa College, Tirunelveli, IN
2 S. T. Hindu College, Nagercoil, IN

Abstract

Due to the unlimited growth of Internet and communication technologies, the extensive use of images in diverse areas such as medical, military, science, engineering, art, entertainment, advertising, education has become unavoidable. With the increasing use of digital techniques for transmitting and storing images, the fundamental issue of protecting the confidentiality, integrity as well as the authenticity of images has become a major concern. This paper proposes a new encryption and decryption algorithm based on transformation matrix. According to this, there are two levels of process. In the first level the block matrix of size 3 x 3 is constructed using the secret key. In the second level, the zone of size 6 x 6 is constructed from the block matrix. The two levels are repeated to get the transformation matrix and is used for encryption purpose. The experimental results are compared with various image encryption algorithms.

Keywords

Block, Encryption, Transformation Matrix, Zone.

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