This paper presents a curvelet based approach for image reconstruction. The objective of the method is to obtain a retrieval image containing as much information as possible for face feature extraction. One attempts have been proposed for the image reconstruction using the wavelet transform. Since face images have several objects and curved shapes, it is expected that the curvelet transform would be better in their feature extraction. The simulation results show the superiority of the curvelet transform to the wavelet transform in the visual quality and the peak signal to noise ratio (PSNR) points of view. ? 2008 IEEE.EI
Feature extraction is a key issue in content-based image retrieval (CBIR). In the past, a number of ...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
This paper presents a new method for the problem of human face recognition from still images. This i...
Multiresolution tools have been profusely employed in face recognition. Wavelet Transform is the bes...
Multiresolution tools have been profusely employed in face recognition. Wavelet Transform is the bes...
Multiresolution tools have been profusely employed in face recognition. Wavelet Transform is the bes...
In this paper, we propose a new feature extraction approach for face recognition based on Curvelet t...
In this paper, we aim to enhance the resolution of a single face image. We introduce a method which ...
Abstract: The prerequisite of more unblemished and realistic Images has contributed the significant...
In this Letter, a new face recognition approach based on curvelets and local ternary patterns (LTP) ...
Face recognition is one amongst the most significant applications of image processing. It’s a challe...
ABSTRACT: This paper describes the image denoising of Curvelet and Wavelet Image Denoising by using ...
Image-object extraction is one of the most important parts in the image processing. Object extractio...
The recognition of a person based on biological features are efficient compared with traditional kno...
Feature extraction is a key issue in content-based image retrieval (CBIR). In the past, a number of ...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
This paper presents a new method for the problem of human face recognition from still images. This i...
Multiresolution tools have been profusely employed in face recognition. Wavelet Transform is the bes...
Multiresolution tools have been profusely employed in face recognition. Wavelet Transform is the bes...
Multiresolution tools have been profusely employed in face recognition. Wavelet Transform is the bes...
In this paper, we propose a new feature extraction approach for face recognition based on Curvelet t...
In this paper, we aim to enhance the resolution of a single face image. We introduce a method which ...
Abstract: The prerequisite of more unblemished and realistic Images has contributed the significant...
In this Letter, a new face recognition approach based on curvelets and local ternary patterns (LTP) ...
Face recognition is one amongst the most significant applications of image processing. It’s a challe...
ABSTRACT: This paper describes the image denoising of Curvelet and Wavelet Image Denoising by using ...
Image-object extraction is one of the most important parts in the image processing. Object extractio...
The recognition of a person based on biological features are efficient compared with traditional kno...
Feature extraction is a key issue in content-based image retrieval (CBIR). In the past, a number of ...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...
International audienceDespite the fact that wavelets have had a wide impact in image processing, the...