Digital Image Processing

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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