Correcting the adjacent pixel nonlinearity on video monitors

نویسنده

  • Stanley A. Klein
چکیده

In raster-scan CRT display systems, the luminous flux of a given pixel is affected by the preceding pixel along the raster direction. This spatial or adjacent pixel nonlinearity can adversely affect image quality. High contrast, high spatial frequency regions of an image will have wrong luminances. A simple lookup table (standard gamma correction) can not correct this nonlinearity. We measured the spatial nonlinearity under a variety of luminance conditions in two CRT displays. A model proposed by Mulligan and Stone1 was used in a 5parameter nonlinear regression to fit the data. Results show that the model fit our data very well. We employed a twodimensional lookup table to compensate for the spatial nonlinearity. The new lookup table has two entries: the intended luminance of the current pixel and the actual voltage of the previous pixel. The output of the new lookup table is the adjusted voltage which compensates for the pixel interaction and gives the correct average luminance for that pixel. Psychophysical experiments show that at small pixel sizes (less than 0.8 mm), the compensation results in a sharp accurate image.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Adjacent Pixel Nonlinearity: Problems and Solutions

The adjacent pixel nonlinearity refers to the dependence of the luminance of a given pixel on the preceding pixel or pixels. We measured this nonlinearity for two CRT displays by measuring the average luminances of a variety of test patterns with different luminance jumps. A two-stage model proposed by Mulligan and Stone was used to fit the data [Mulligan, J.B. & Stone, L. S., (1989). Journal o...

متن کامل

الگوریتم انطباق مرزی ترکیبی و سریع برای اختفای خطای زمانی داده‌های ویدئویی

Despite data resilient methods against error that are applied on video data in transmitter side, occurringerror along video data transferring for communication channels is inevitable. Error concealment is a useful method for improving the quality of damaged videos in receiver side. In this paper, a fast and hybrid boundary matching algorithm is presented for more accurate estimating of damaged ...

متن کامل

Video Abstraction in H.264/AVC Compressed Domain

Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new video abstraction method in H.264/AVC compressed domain, AVAIF. The method is based on the norm...

متن کامل

Fast Search for MPEG Video Clips Using Adjacent Pixel Intensity Difference Quantization Histogram Feature

In this paper, we propose a novel fast search algorithm for short MPEG video clips from video database. This algorithm is based on the adjacent pixel intensity difference quantization (APIDQ) algorithm, which had been reliably applied to human face recognition previously. An APIDQ histogram is utilized as the feature vector of the frame image. Instead of fully decompressed video frames, partial...

متن کامل

Removing car shadows in video images using entropy and Euclidean distance features

Detecting car motion in video frames is one of the key subjects in computer vision society. In recent years, different approaches have been proposed to address this issue. One of the main challenges of developed image processing systems for car detection is their shadows. Car shadows change the appearance of them in a way that they might seem stitched to other neighboring cars. This study aims ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005