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Singh, Sukhwinder
- A New Concept to Filter the Salt and Pepper Noise from Grey Scale Images
Authors
1 PEC University of Technology, Chandigarh, IN
2 E & EC Department, PEC University of Technology, Chandigarh, IN
Source
Digital Image Processing, Vol 4, No 6 (2012), Pagination: 308-312Abstract
Recent research in image processing has been strongly influenced by new developments in de noising techniques. Salt-and-pepper impulse noise is one commonly encountered noise type during image and video communication. Various methods have been implemented for the removal of this type of noise. This paper presents a new approach which first detects the noisy pixels using the binary flag image and then replaces only those pixels which are corrupted and the good pixels kept untouched. It is indicated that this method outperformed several existing methods in both visual image quality and restored signal quantity and gives high PSNR & IEF.Keywords
Salt & Pepper Noise, Switching Median Filter, Decision Based Median Filter.
- An Enhanced Edge Detection Algorithm for 2-D Images
Authors
1 PEC University of Technology, Chandigarh, IN
2 Electronics and Electrical Department, PEC University of Technology, Chandigarh, IN
Source
Digital Image Processing, Vol 2, No 2 (2010), Pagination: 39-47Abstract
In gray-level image processing, images of typical scenes contain large areas of gradual intensity change, called segments, bounded by narrow regions of very rapid intensity change, called edges. An edge detector is a procedure or rule that locates a series of points, arranged roughly in a line, where rapid intensity changes have occurred. Edge detection is a problem of fundamental importance in image analysis and is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction. Many different forms of edge detectors have been developed in image processing, including Sobel, Robert, LOG (laplacian of Gaussian), Prewitt, Canny, Mathematical Morphology and Multi-Structure Elements Mathematical Morphology. In this paper all the various edge detection algorithms are discussed and in addition to that, Top-hat and bottom-hat transformation are used for enhancing the image contrast and reduces noise as well.Keywords
Bottom-Hat Transformation, Edge Detection, Image Processing, Operators, Top-Hat Transformation.- Post-Processing Method for Reducing Blocking Artifacts Using a Deblocking Filter
Authors
1 Department of Computer Science and Engineering, D.A.V. Institute of Engineering and Technology, Jalandhar, IN
2 Department of Electronics and Communication Engineering, D.A.V. Institute of Engineering and Technology, Jalandhar, IN
3 Department of Instrumentation and Control at Dr. B.R. Ambedkar NIT, Jalandhar, IN
4 Department of Computer Science and Engineering at U.I.E.T., Chandigarh, IN
Source
Digital Image Processing, Vol 1, No 5 (2009), Pagination: 201-212Abstract
A major drawback of block discrete cosine transform-based compressed image is the appearance of visible discontinuities along block boundaries in low bit-rate coding, which are commonly referred as blocking artifacts. In this paper, a post-processing method based on three separate nfiltering modes is proposed for removing these discontinuities. The method consists of three stages: in the first, better estimates of the activity across block boundary for region classification. In the second, based on region classification appropriate filtering mode is applied to the image blocks. In the third, evaluate the performance of the proposed method using performance metric- Peak Signal-to-Noise Ratio. Experiments shows that the proposed method gives better performance in terms of PSNR (Peak Signal-to-Noise Ratio) and excellent results compared with other approaches.