Dr. Aya Kubota Profile

Dr. Aya Kubota

at Kogakuin Univ

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 22 March 2019 Paper

Noise reduction for 8K endoscope images

Aya Kubota, Seiichi Gohshi

Proceedings Volume 11049, 110490I (2019) https://doi.org/10.1117/12.2521054

KEYWORDS: Image processing, Endoscopes, Image quality, Video, Denoising, Light sources and illumination, Image resolution, Endoscopy, Surgery, Diagnostics

Read Abstract +

In the medical field, diagnosis based on images/videos is constantly becoming increasingly important. Recently, an 8K resolution endoscope has been developed. Lighting is necessary to obtain sufficiently lighted images/videos when endoscopic examinations or operations are performed. Although it is necessary to have sufficient illumination, the lighting condition of endoscopes is limited owing to the heat generated by the light source. Poor lighting conditions always produce noise. Particularly, the size of an 8K imaging cell is small, and the number of photons for it is limited. Noise is an important issue in 8K endoscopic images. During a diagnosis, in order to obtain detailed information on an ailing part, same areas are often monitored repeatedly. 8K endoscopic videos have a high resolution; having a high image quality in each frame of still images is important used during diagnoses. However, unlike videos, in still images, observers can easily distinguish not only resolution differences but also degradations, such as noise, in problematic areas. In this study, a total variation (TV) denoising method is used to reduce the noise of 8K endoscopic images.

Proceedings Article | 13 April 2018 Paper

Image quality assessment for selfies with and without super resolution

Aya Kubota, Seiichi Gohshi

Proceedings Volume 10696, 1069618 (2018) https://doi.org/10.1117/12.2310070

KEYWORDS: Image quality, Image processing, Image resolution, Super resolution, Statistical analysis, Video, Cameras, Image quality standards, Databases, Switches

Read Abstract +

With the advent of cellphone cameras, in particular, on smartphones, many people now take photos of themselves alone and with others in the frame; such photos are popularly known as “selfies”. Most smartphones are equipped with two cameras: the front-facing and rear cameras. The camera located on the back of the smartphone is referred to as the “out-camera,” whereas the one located on the front of the smartphone is called the “in-camera.” In-cameras are mainly used for selfies. Some smartphones feature high-resolution cameras. However, the original image quality cannot be obtained because smartphone cameras often have low-performance lenses. Super resolution (SR) is one of the recent technological advancements that has increased image resolution. We developed a new SR technology that can be processed on smartphones. Smartphones with new SR technology are currently available in the market have already registered sales. However, the effective use of new SR technology has not yet been verified. Comparing the image quality with and without SR on smartphone display is necessary to confirm the usefulness of this new technology. Methods that are based on objective and subjective assessments are required to quantitatively measure image quality. It is known that the typical object assessment value, such as Peak Signal to Noise Ratio (PSNR), does not go together with how we feel when we assess image/video. When digital broadcast started, the standard was determined using subjective assessment. Although subjective assessment usually comes at high cost because of personnel expenses for observers, the results are highly reproducible when they are conducted under right conditions and statistical analysis. In this study, the subjective assessment results for selfie images are reported.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years