Bit Plane Slicing Research Articles

Hybrid Domain based Steganography using BPS, LSB and IWT

The Steganography used to transport information from one place to other place through public channel in covert way. In this paper we propose Hybrid domain Steganography using BPS, LSB and IWT (HSBLI). The payload is decomposed into two equal parts say part 1 and part 2. The cover and payload (PL) part 1 pixel intensity value are observed and if intensity values are more than or equal to 128 then Bit Plane Slicing (BPS) algorithm is used to embed payload in to cover image. If the intensity values of cover image and PL part 1 are less than 128, square root is applied to compress 8 bit pixel length to 4 bit pixel length and LSB technique is used to replace PL part 1 value by cover image LSB values. The BPS stego object is merged with LSB stego object to obtain intermediate stego object. The IWT is applied on intermediate stego object to derive four sub bands. The PL part 2 is considered and embedded into LL sub band of intermediate stego object using LSB replacement method to obtain final stego object. The inverse IWT is applied on final stego object to get stego image in spatial domain. The payload is extracted at the destination by applying reverse process of embedding. It is observed that the values of PSNR better in the case of proposed algorithm compare to existing algorithms.

Fracture Extraction from Colored X-Ray Images

A fracture is a crack or break in the bone. This can be easily detected by taking an X-ray in that area. But sometimes these images lack sufficient details needed to diagnose. So these images can be enhanced by adding the color map. To add the RGB color to the Destination image, the reference image ‘mood’ color is taken. Although adding color to the gray scale has no much impact, but the human labor is much reduced. After adding color to the original image, it adds up details to the target image. In the second part of this paper, Bit-Plane slicing method is used to extract the details of a Colored X-Ray Image. This method produces different bit level images. In this paper Bit Level 6 is evaluated for RGB colors of the Original image and it is evaluated with the Bit level 6 of the original image. The result shows that the colored X-Ray image Bit level6 yield more details than the Bit level6 of gray scale X-Ray image. Keywords: Color map, RGB Color Model Feature Extraction, Bit-Plane Slicing, Gray scale images.