<p>This work presents a novel method for detecting straight lines in an image at a very high speed with optimum number of processors and their functionalities. The method can be used to extract straight lines directly from an image without noise removal and pre-processing. First the square image is converted to a binary edge image using a parallel edge detection mechanism. The parallel edge detection mechanism used in this work is capable of producing edge image within a short time. Then the binary square image is transferred to a system having large number of Processing Elements (PEs). A PE has only limited jobs such as pixel scanning, compare line length with nearby PEs and transmit data to the Main Control Unit (MCU). The MCU collects data from all PEs and evaluates straight lines. Even if the number of PEs is high, it is comparatively very much less than the parallel Hough Transform method and practically implementable using recent ULSI technologies.</p>

Hexagonal geometry has some advantageous like higher sampling efficiency, consistent connectivity and higher angular resolution. In addition to these advantages, the layout of photo-receptors in the human retina is more closely resembles to the hexagonal structure. It is due to these reasons many researchers have studied the possibility of using a hexagonal structure to represent digital images. Wavelet also have its own advantage and combining wavelet and processing of images in Hexagonal grid, that also will give better performance, because hexagonal wavelet includes the advantages of the hexagonal grid along with the wavelets . In this wok, the wavelet based image compression is performed on both square as well as hexagonal sampled images and the performance is compared using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). Gabor filter is used for the interpolation of hexagonally sampled images. Compression on hexagonal domain gives better results compared to compression on rectangular domain.

<p><span>The images are not always good enough to convey the proper information. The image may be very bright or very dark sometime or it may be low contrast or high contrast. Because of these reasons image enhancement plays important role in digital image processing. In this paper we proposed an image enhancement technique in which Gabor and median filtering is performed in wavelet domain and Adaptive Histogram Equalization is performed in spatial domain. Brightness and contrast are the two parameters used for analyzing the performance of the proposed method</span></p>

No abstract

No abstract