The principle of fractal image coding is that the image converges to a stable image by iterating the contractive transformations on an arbitrary initial image. This algorithm Partition the image into a number of range blocks and domain blocks. For every range block, the best matching domain block is searched for among all domain blocks by performing a set of transformations on each block. For c...

Image identification technique is a newly emerge corn disease diagnosis. Disease and background can be isolated base on the image segmentation. The accuracy of the identification result has important impact on corn quality and yield. Plant disease often appears in leaves. In this study, an image extraction algorithm of rice leaf which is based on green component and use the threshold of grey-sc...

In this paper, reported algorithms for fog removal are reviewed. Fog reduces the visibility of scene and thus performance of various computer vision algorithms which use feature information. Formation of the fog is the function of the depth. Estimation of depth information is under constraints problem if single image is available. Hence, removal of fog requires assumptions or prior information....

This paper presents the performance of different block-based discrete cosine transform (DCT) algorithms for compressing color image. In this RGB component of color image are converted to YCbCr before DCT transform is applied. Y is luminance component; Cb and Cr are chrominance components of the image. The modification of the image data is done based on the classification of image blocks to edge...

Digital watermarking is a technique for copyright protection. In literature, many watermarking methods for gray images have been presented. Some of them are directly applied to the luminance component of a color image. A previous method applies to the difference between RGB components instead, and shows that the image quality can be improved. In this paper, we present a robust color image water...

Image and geometry registration algorithms are an essential component of many computer graphics and computer vision systems. With recent technological advances in RGB-D sensors, such as the Microsoft Kinect or Asus Xtion Live, robust algorithms that combine 2D image and 3D geometry registration have become an active area of research. The goal of this course is to introduce the basics of 2D/3D r...

Image hashing is a new technology in multimedia security. It maps visually identical images to the same or similar short strings called image hashes, and finds applications in image retrieval, image authentication, digital watermarking, image indexing, and image copy detection. This paper presents a perceptual hashing for color images. The input image in RGB color space is firstly converted int...

Comparison in the RGB domain is not suitable for precise color matching, due to the strong dependency of this domain on factors like spectral power distribution of the light source and object geometry. We have studied the use of multispectral or hyperspectral images for color matching, since it can be proven that hyperspectral images can be made independent of the light source (color constancy)...

We present a method to give (fused) multiband night-time imagery a natural day-time color appearance. For input, the method requires a false color RGB image that is produced by mapping 3 individual bands (or the first 3 principal components) of a multiband nightvision system to the respective channels of an RGB image. The false color RGB nightvision image is transformed into a perceptually deco...

In this paper, optimal multi-level image segmentation is proposed using the Firefly Algorithm (FA). In this work, RGB histogram of the image is considered for bi-level and multi-level segmentation. Optimal thresholds for each colour component are attained by maximizing Otsu’s between-class variance function. The proposed segmentation procedure is demonstrated using standard RGB dataset and vali...