To compensate for the imperfections of the endoscopic mechanical structure and the limitations of working space, a new technology based on the recursive minimum/maximum method is proposed to enlarge images obtained by the medical electronic endoscope. This method can be used repeatedly to obtain image enlargement to 2× by optimizing the neighborhood information of the pixels of interest in adjustable windows. In order to ensure the best evaluation of the pixel, the algorithm criterion is presented to decide whether the new gray value is assigned to the pixel. Experimental results from enlarged endoscopic images are presented that demonstrate that the recursive minimum/maximum method for image enlargement can preserve the fine details with rich edge information and with better visualization.

© 2002 Optical Society of America

[Optical Society of America ]

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

Related Journal Articles

• Multiresolution spot detection by means of entropy thresholding (JOSAA)
• Iterative statistical approach to blind image deconvolution (JOSAA)
• Sampled-speckle photography for measurement of deformation (OL)
• Wide dynamic range detection of bidirectional flow in Doppler optical coherence tomography using a two-dimensional Kasai estimator (OL)
• Development of a synchronous fluorescence imaging system and data analysis methods (OE)

Related Conference Papers

• Computational Hyperspectral Microscopy in Biomedicine: Studies of Brain Function
• Diffraction-Limited Impulse Response Image Reconstruction with a Single Imaging Pixel
• Diffraction-Limited Impulse Response Image Reconstruction with a Single Imaging Pixel
• Recovery of Myosin Filament Positions in Muscle Electron Micrographs
• Cr:Forsterite Laser Based Beam-Scanning Multi-Photon Multi-Harmonic Endoscope with Higher Efficiencies