Abstract Image resizing is widely demanding in various applications such as image transmissions in the computer network and image display for the different resolution of display devices. The subband DCT (discrete cosine transforms) is a multiple-resolution structure in which the signal is decomposed into low-frequency and high-frequency subband signals to improve the computational complexity an...

ABSTRACT When changing height and width of image traditional techniques for image resizing are oblivious to the content of image. A simple operator seam carving is used for image and video retargeting. This seam carving operator is used for content aware image resizing to reduce or expand image size. According to seam carving method every object in the image must be scaled down proportionally. ...

With the development of multimedia technology, image resizing has been raised as a question when the aspect ratio of an examined image should be displayed on a device with a different aspect ratio. Traditional nonuniform scaling for tackling this problemwill lead to distortion. Therefore, content-aware consideration is mostly incorporated in the designing procedure. Such methods generally defin...

We present a novel method for content-aware image resizing based on grid transformation. In our proposed method, an original image is projected onto a grid, and then the vertical and horizontal grid lines are moved to resize the image. For obtaining plausible results, our method preserves not only important regions but also aspect ratios of objects and shapes of lines. We define three distortio...

Nowadays, images are being viewed on the slimmest and the smallest display devices which is a challenge for various image resizing techniques and algorithms. Traditional methods have been used to change the height and width of the image which are ignorant to the content of the image. Effective resizing of images should focus on image content more than anything else. A manageable technique calle...

Content-aware image resizing has been a promising theme in the communities of image processing and computer vision. To the best of our knowledge, most existing methods for image resizing are unsupervised. These unsupervised methods may either fail to protect the interesting regions or cause distortion of the image structure. This paper presents a novel learning based method for seam carving by ...