نتایج جستجو برای: image resizing
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In this paper we proposed fast and accurate interpolation and resizing of images using lifting scheme approach. 5/3 lifting scheme is an accurate and computationally inexpensive interpolation technique for image resizing. We compared the bilinear interpolation, Haar lifting scheme and 5/3 lifting scheme in this paper. The lifting scheme algorithm is applied for image interpolation to resize the...
Interpolation is the process of transferring image from one resolution to another without losing image quality. In Image processing field, image interpolation is very important function for doing zooming, enhancement of image, resizing any many more. Here in this paper, we have reviewed different interpolation algorithms. We have implemented all reviewed interpolation algorithms and done compar...
We present a novel image resizing method which attempts to ensure that important local regions undergo a geometric similarity transformation, and at the same time, to preserve image edge structure. To accomplish this, we define handles to describe both local regions and image edges, and assign a weight for each handle based on an importance map for the source image. Inspired by conformal energy...
Image interpolation is the most basic requirement for many image processing tasks such as medical processing. a technique used in resizing an image. To change size, each pixel new must be remapped to location old calculate value. There are algorithms available determining value, of which involve some form between closest pixels In this paper, we use Bicubic algorithm size images from Messidor d...
Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we present a content-aware synthesis method to enhance content-aware image retargeting. By detecting the textural regions in an image, the image content can be synthesized rather than simply distorted or cropped. This method enables the manipulation of textu...
BACKGROUND A new image-resizing method using seam carving and a Saliency Strength Map (SSM) is proposed to preserve important contents, such as white blood cells included in blood cell images. METHODS To apply seam carving to cell images, a SSM is initially generated using a visual attention model and the structural properties of white blood cells are then used to create an energy map for sea...
Seam Carving, the popular content aware image resizing technique removes seams of low energy iteratively without considering the global visual impact of the image. It is computation intensive. Sometimes seams unavoidable pass through the ROIs and distort their geometric shapes. The ROIs of low energy cannot sustain seam carving. We proposed a piecewise approach which can preserve the ROIs of lo...
We propose a new set of kernels to simplify the design of filters for image interpolation and resizing. Their properties are defined according to two parameters, specifying the width of the transition band and the height of a unique sidelobe. By varying these parameters it is possible to efficiently explore the space with only the filters that are suited for image interpolation and resizing, an...
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