Non-uniform mesh warping for content-aware image retargeting
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Neurocomputing
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Several different methods have been proposed for image/video retargeting while retaining the content. However, they sometimes produce some artifacts, such as ridge or structure twist. In this paper, we present a structure-preserving image resizing technique for the image retargeting applications. Based on the warping-based retargeting technique proposed by Wolf et al.[13], we propose an efficient and adaptive image resizing algorithm that preserves the content and image structure as best as possible. We first downsample the size of the original image by using bilinear interpolation. In order to preserve the content, we introduce the structure constraints derived from the line detection into the large linear system. Then, the mapping matrices are enlarged to the original size by joint-bilateral upsampling and the resized image can be produced to preserve the content and structure as best as possible. Most of the computation is on the low-resolution layer and therefore it can be very efficient. From our experiments, the proposed method can provide resized images with higher image quality and faster speed than that in [13].