Color Constancy Based on Effective Regions
スポンサーリンク
概要
- 論文の詳細を見る
None of the existing color constancy algorithms can be considered universal. Furthermore, they use all the image pixels, although actually not all of the pixels are effective in illumination estimation. Consequently, how to select a proper color constancy algorithm from existing algorithms and how to select effective (or useful) pixels from an image are two most important problems for natural images color constancy. In this paper, a novel Color Constancy method using Effective Regions (CCER) is proposed, which consists of the proper algorithm selection and effective regions selection. For a given image, the most proper algorithm is selected according to its Weilbull distribution while its effective regions are chosen based on image similarity. The experiments show promising results compared with the state-of-the-art methods.
- （社）電子情報通信学会の論文
- 2008-07-01
著者
-
XU De
Institute of Computer Science and Engineering, Beijing Jiaotong University
-
LI Bing
Institute of Computer Science and Engineering, Beijing Jiaotong University
-
LU Rui
Institute of Computer Science and Engineering, Beijing Jiaotong University
-
Li Bing
Beijing Jiaotong Univ. Beijing Chn
-
Li Bing
Institute Of Computer Science And Engineering Beijing Jiaotong University
-
Xu De
Beijing Jiaotong Univ. Beijing Chn
-
Lu Rui
Institute Of Computer Science And Engineering Beijing Jiaotong University
-
Xu De
Institute Of Computer & Engineering Beijing Jiaotong University
-
YANG Xinbin
Dongying Vocational College
関連論文
- Adaptively Combining Local with Global Information for Natural Scenes Categorization
- Multi-Scale Multi-Level Generative Model in Scene Classification
- Color Constancy Based on Image Similarity
- How the Number of Interest Points Affect Scene Classification
- Category Constrained Learning Model for Scene Classification
- Natural Scene Classification Based on Integrated Topic Simplex
- Edge-Based Color Constancy via Support Vector Regression
- Ca^ and Calmodulin Modulate DNA-Binding Activity of Maize Heat Shock Transcription Factor in Vitro
- Binding of the Maize Cytosolic Hsp70 to Calmodulin, and Identification of Calmodulin-Binding Site in Hsp70^1
- Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval
- A Multi-Scale Adaptive Grey World Algorithm(Image Recognition, Computer Vision)
- A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images
- Adaptively Combining Local with Global Information for Natural Scenes Categorization
- Action Recognition Using Visual-Neuron Feature
- 2D Log-Gabor Wavelet Based Action Recognition
- Adaptive Non-linear Intensity Mapping Based Salient Region Extraction
- Modeling Bottom-Up Visual Attention for Color Images
- A Visual Inpainting Method Based on the Compressed Domain(Image Processing and Video Processing)
- Nocardioides exalbidus sp. nov., a novel actinomycete isolated from lichen in Izu-Oshima Island, Japan
- Moving Object Completion on the Compressed Domain
- Color Constancy Based on Effective Regions
- Predicting DataSpace Retrieval Using Probabilistic Hidden Information
- Multi-Scale Multi-Level Generation Model in Scene Classification
- Discriminating Semantic Visual Words for Scene Classification
- A Novel Saliency-Based Graph Learning Framework with Application to CBIR
- Scene Categorization with Classified Codebook Model
- Global-Context Based Salient Region Detection in Nature Images