AN EFFECTIVE DE-INTERACING TECHNIQUE USING MOTION COMPENSATED INTERPOLATION

Sejong University, DMS Lab.Sejong University, DMS Lab.

Ki-Hun Han

AN EFFECTIVE DE-INTERACING TECHNIQUE USING AN EFFECTIVE DE-INTERACING TECHNIQUE USING MOTION COMPENSATED INTERPOLATIONMOTION COMPENSATED INTERPOLATION

IEEE TRANSACTION ON Consumer Electronics, AUG. 2000

You-Young Jung, Byung-Tae Choi, Yung-Jun Park and Sung-Jea Ko

2005. 05. 03

Sejong University, DMS Lab.Sejong University, DMS Lab.

< Abstract >< Abstract >

A new de-interlacing algorithm using motion compensated interpolation is suggested

First, motion estimation is performed between the same parity fields

Then the motion vector is refined in the interpolation field For further improvement, a five point median filter with temporal

emphasis is used to reduce the interpolation error caused by incorrect motion

Sejong University, DMS Lab.Sejong University, DMS Lab.

< < ⅠINTRODUCTIONⅠINTRODUCTION > >

Current TV systems has visual artifacts such as an edge flicker, an interline flicker and line crawling

De-Interlacing which is a picture format conversion form interlaced to progressive picture has been widely used to reduce the those artifacts

HDTV systems support the progressive scan but camera and TV system still support the interlaced scan

Various de-interlacing techniques

fixed vertical-temporal filtering[2], edge-based line average[4]-[5], motion adaptive techniques[6]-[7]

Sejong University, DMS Lab.Sejong University, DMS Lab.

< < ⅠINTRODUCTIONⅠINTRODUCTION > >

The basic concept of motion adaptive schemes is to select the appropriate interpolation method according to the motion of the image – spatial filtering in motion area and temporal filtering in static area

But, this approach is highly dependent on the accuracy of motion estimation

We propose a new de-interlacing scheme using the motion-compensated field interpolation and the field merging technique

Sejong University, DMS Lab.Sejong University, DMS Lab.

<< ⅡⅡDE-INTERLACING TECHNIQUESDE-INTERLACING TECHNIQUES >>

The ELA-based technique is the most popular since it exhibit good performance with small computational loadThe ELA algorithm uses the directional correlations between pixels to interpolate

Sejong University, DMS Lab.Sejong University, DMS Lab.

ELA-based technique introduces flicker at motion area

One of solutions is motion compensation for inter-field processing

Before motion estimation, the previously de-interlaced field is inserted in the current missing field

Motion Estimation

Three-point median filter

Sejong University, DMS Lab.Sejong University, DMS Lab.

Ⅲ Ⅲ PROPOSED MOTION COMPESATED DE-PROPOSED MOTION COMPESATED DE-INTERACINGINTERACING

fn-1, fn and fn+1 denote the previous, current and next field, respectively

Sejong University, DMS Lab.Sejong University, DMS Lab.

ⅢⅢ-A The Motion Compensated Field Interplation-A The Motion Compensated Field Interplation

Sejong University, DMS Lab.Sejong University, DMS Lab.

ⅢⅢ-A The Motion Compensated Field Interplation-A The Motion Compensated Field Interplation

It is often observed that inconsistencies or non-smoothness in the estimated vector field decreases the interpolated picture quality

We present the proposed smoothing scheme: Let B and Ni, where i=1,2,…,8 denote the current block and the eight nearest neighboring blocks around B in the interpolated field

Sejong University, DMS Lab.Sejong University, DMS Lab.

Ⅳ Ⅳ FURTHER IMPROVEMENTSFURTHER IMPROVEMENTS

The performance of the MCFI is satisfactory if the motion vectors are accurate and reliable. However, when the estimated motion vector is incorrect, the interpolated picture quality can be degraded

In this case, the intra-field interpolation using spatial information might be more reliable

The proposed scheme uses a five-point median filter for intra and inter-field interpolation

Sejong University, DMS Lab.Sejong University, DMS Lab.

Ⅴ Ⅴ EXPERIMENTAL RESULTSEXPERIMENTAL RESULTS

For motion estimation, the block size is 16x8, search range for initial motion estimation is ±8, and the search range for refinement of the initial motion vector is ±2

Sejong University, DMS Lab.Sejong University, DMS Lab.

Ⅴ Ⅴ EXPERIMENTAL RESULTSEXPERIMENTAL RESULTS

Sejong University, DMS Lab.Sejong University, DMS Lab.

Ⅴ Ⅴ EXPERIMENTAL RESULTSEXPERIMENTAL RESULTS

Performance of de-interlacing methods on Flower garden sequence