Gradient Blending method is used to crosscorrelate the different images by varying the intensity. Content-aware image resizing technique allows to obtain the visual content of the images by enriching the salient information in different aspect of ratio. Seam carving is a simple image operator that can change the size of an image either by carving out or by inserting pixel in different part of t...

The standard interpolation approach to image resizing is to fit the original picture with a continuous model and resample the function at the desired rate. However, one can obtain more accurate results if one applies a filter prior to sampling, a fact well known from sampling theory. The optimal solution corresponds to an orthogonal projection onto the underlying continuous signal space. Unfort...

Image splicing is an image editing method to copy a part of an image and paste it onto another image, and it is commonly followed by postprocessing such as local/global blurring, compression, and resizing. To detect this kind of forgery, the image rich models, a feature set successfully used in the steganalysis is evaluated on the splicing image dataset at first, and the dominant submodel is se...

Image retargeting aims to avoid visual distortion while retaining important image content in resizing. However, current image retargeting methods usually fail in difficult situations, such as complex structures and intricate arrangements of objects. In this paper, we propose a novel image retargeting approach, which provides low visual distortion retargeting results by combining region warping ...

Relevance feedback and region-based representation of images are two effective ways to improve accuracy in content-based image retrieval. In this paper, we propose a novel relevance feedback approach based on region representation. It can be considered as a special case of the query point movement method in region-based image retrieval. By assembling all the segmented regions of positive exampl...

The amount of information that can be hidden in an image without any visually noticeable difference and retrieval of this embedded information are the difficulties in watermarking techniques. In this paper we present a novel algorithm for embedding and extracting large digital watermarks in images. This method is inspired by Cox’s watermarking strategy. Unlike embedding an image or binary water...

In this paper, we propose a new robust hybrid watermarking technique based on recently introduced contourlet transform and singular value decomposition. After applying the contourlet transform for the original image, we select the low frequency directional sub band coefficients and apply singular value decomposition. The singular values of the original image are then modified by the singular va...

The Digital image processing helps the ophthalmologists in distinguishing the vascular irregularities in order to detect some disorders related to retina like Diabetic Retinopathy (DR), Age-related Macular Degeneration (AMD), and Glaucoma etc., which can cause visual impairments. The retinal fundus images of the patients are procured by capturing the fundus of the eye with a digital fondues cam...

Abstract Advances in high‐throughput platforms such as UAVs (unoccupied aerial vehicles) facilitate rapid image‐based phenotypic data acquisition. However, existing plot‐level extraction methods are unreliable if field plots differ size and spacing, often occurs early‐generation plant breeding trials. To overcome the limitations of conventional plot techniques, a combinational approach with bot...

In this paper, we propose a technique for image replica detection. By replica, we mean equivalent versions of a given reference image, e.g. after it has undergone operations such as compression, filtering or resizing. Applications of this technique include discovery of copyright infringement or detection of illicit content. The technique is based on the extraction of multiple features from an i...