Abstract: An iteration-free fractal coding for still colour image compression is proposed using simulated annealing. As the proposed method uses the synthetic code book, it reduces the coding process time and minimizes intensive computations. The proposed technique utilizes the SA, which greatly decreases the search complexity of matching between range block and domain block. Parameters such as image quality, compression ratio and coding time are analyzed. It is observed that the proposed method achieves excellent performance in image quality with very low bit rate.

• Publication Date: 11-Aug-2012
• DOI: 10.15224/978-981-07-3161-8-177
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Abstract: In this research, we develop a facial image retrieval computational model for the problem of facial images retrieval by integrating content-based image retrieval (CBIR) techniques and face recognition techniques(FERET), with the verbal description of the semantic features of the facial image. Eigenfaces is applied to extract the characteristic feature images of the human face images. One hundred participant participated to choose, order and annotate the semantic features of the human face based on the importance of each features to differentiate between human faces. During the retrieval process system use the specific semantic features, of the face that is user looking for, to narrow down the search space. Eigenfaces is then projected onto the narrowed down human faces search space to identify and retrieve the similar faces to the query face from the database. Euclidean distance is used for classification purpose. The database that is used consists of 1500 local facial images database

• Publication Date: 11-Aug-2012
• DOI: 10.15224/978-981-07-3161-8-221
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