Images are an increasingly important class of data, especially as computers become more usable with greater memory and communication capacities. Development in digital photography has led to a huge collection of still images that are stored in digital format. As the demand for digital images increases, the need to store and retrieve images in an efficient manner arises. Therefore, the field of ...

The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...

Image Compression is one of the major image processing technique. It is used extensively to reduce the number of bits required to represent an image without degrading the quality of image. The main objective is to reduce the irrelevance and redundancy present in the image data. Compression of images can be performed using various techniques. Storage capacity and speed of transmission are the tw...

Medical image segmentation is a frequent processing step in image understanding and computer aided diagnosis. In this paper, we propose developing on the range operator in image segmentation using depending on dermatology infection. Three different block size are utilized on the range operator and the developing ones to enhance the behavior of the segmentation process of medical images. We prop...

JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this ...

Nighttime image context enhancement is one of the crucial areas in image processing as many objects can’t be seen due to poor illumination of the video. The purpose of image or video enhancement is to improve the visual appearance of the video. In this paper, a new algorithm is proposed in which the illuminant area of the nighttime image is enhanced to highlight the foreground and then it is fu...

The complexity of an image tells many aspects of the image content and is an important factor in the selection of source material for testing various image processing methods. Databases of pictures or videos explained with subjective evaluations constitute basic ground truth for preparing, testing, what's more, benchmarking calculations for target quality appraisal. We propose a few criteria fo...

This paper presents an automatic feature recognition method based on center-surround difference detecting and fuzzy logic that can be applied in ground-penetrating radar (GPR) image processing. Adopted center-surround difference method, the salient local image regions are extracted from the GPR images as features of detected objects. And fuzzy logic strategy is used to match the detected featur...

Digital image processing is the process of enhancing samples of image which may or may not degraded by noise and other distortion. Image Processing takes a big role to amplify and rectify of an image, video clips, medical films, designing, animations, machineries, Computer Graphics, etc. Amplify is the process of magnification with or without noise presents applying the techniques and re-checki...