tailieunhanh - Báo cáo hóa học: " Automatic Image Enhancement by Content Dependent Exposure Correction"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Automatic Image Enhancement by Content Dependent Exposure Correction | EURASIP Journal on Applied Signal Processing 2004 12 1849-1860 2004 Hindawi Publishing Corporation Automatic Image Enhancement by Content Dependent Exposure Correction S. Battiato University of Catania Department of Mathematic and Informatics 95125 Catania Italy Email battiato@ A. Bosco STMicroelectronics M6 Site Zona Industriale 95121 Catania Italy Email A. Castorina STMicroelectronics M6 Site Zona Industriale 95121 Catania Italy Email G. Messina STMicroelectronics M6 Site Zona Industriale 95121 Catania Italy Email Received 7 August 2003 Revised 8 March 2004 We describe an automatic image enhancement technique based on features extraction methods. The approach takes into account images in Bayer data format captured using a CCD CMOS sensor and or 24-bit color images after identifying the visually significant features the algorithm adjusts the exposure level using a camera response -like function then a final HUE reconstruction is achieved. This method is suitable for handset devices acquisition systems . mobile phones PDA etc. . The process is also suitable to solve some of the typical drawbacks due to several factors such as poor optics absence of flashgun and so forth. Keywords and phrases Bayer pattern skin recognition features extraction contrast focus exposure correction. 1. INTRODUCTION Reduction of processing time and quality enhancement of acquired images is becoming much more significant. The use of sensors with greater resolution combined with advanced solutions 1 2 3 4 aims to improve the quality of resulting images. One of the main problems affecting image quality leading to unpleasant pictures comes from improper exposure to light. Beside the sophisticated features incorporated in today s cameras . automatic gain control algorithms failures are not unlikely to occur. Some techniques are completely automatic cases in point being represented by those based on average .