Method and apparatus for visually optimized rate control

• US 6,212,302 B1
• Filed: 12/29/1998
• Issued: 04/03/2001
• Est. Priority Date: 12/29/1998
• Status: Expired due to Term

• Current Assignee: Apple Inc.
• Original Assignee: Eastman Kodak Company
• Inventors: Rabbani, Majid, Honsinger, Chris W., Jones, Paul W.
• Primary Examiner(s): Couso, Jose L.
• Assistant Examiner(s): Do, Anh Hong
• Application Number:
  US09/222,190
• Time in Patent Office: 826 Days
• Field of Search: 382/232, 382/251, 382/252, 382/253, 382/244, 348/78
• US Class Current: 382/232
• CPC Class Codes: G06T 9/00 Image coding bandwidth or redundancy reduction for static pictures H04N1/41; coding or decoding of static colour picture signals H04N1/64; methods or arrangements for coding, decoding, compressing or decompressing digital video signals H04N19/00

Abstract

A method selecting a quality parameter for use in compressing a digital image, the method comprises the steps of creating a plurality of quantizer parameter sets, each having a corresponding quality parameter; compressing the digital image with the plurality of quantizer parameter sets for providing a corresponding plurality of compressed file sizes; creating a rate-distortion curve from the plurality of quantizer parameter sets and the corresponding compressed file sizes; providing a maximum and minimum quality parameters; providing a target compressed file size; and selecting a quality parameter based on the rate distortion curve, the maximum and minimum quality parameters and the target compressed file size.

Claims

1. A method selecting a quality parameter for use in compressing a digital image, the method comprising the steps of:

(a) creating a plurality of quantizer parameter sets, each having a corresponding quality parameter;

(b) compressing the digital image with the plurality of quantizer parameter sets for providing a corresponding plurality of compressed file sizes;

(c) creating a rate-distortion curve from the plurality of quantizer parameter sets and the corresponding compressed file sizes;

(d) providing a maximum and minimum quality parameters;

(e) providing a target compressed file size; and

,

(f) selecting a quality parameter based on the rate distortion curve, the maximum and minimum quality parameters and the target compressed file size.

2. The method as in claim 1, wherein step (a) further includes creating the plurality of quantizer parameter sets based on threshold viewing distance with a human visual system model.

3. The method as in claim 1, wherein step (b) further includes compressing the digital image using JPEG compression and using quantization tables as the quantizer parameter sets.

4. The method as in claim 3, wherein step (a) further includes creating the plurality of quantizer parameter sets based on threshold viewing distance with a human visual system model.

5. The method as in claim 1, wherein step (f) further comprises the steps of:

(g) identifying a candidate quality parameter associated with the target compressed file size based on the rate-distortion curve;

(h) selecting the candidate quality parameter if the candidate quality parameter is greater than or equal to the minimum quality parameter and if the candidate quality parameter is less than or equal to the maximum quality parameter;

(i) selecting the quality parameter associated with the maximum quality if the candidate quality parameter is greater than the maximum quality parameter; and

,

(j) transmitting a warning signal if the candidate quality parameter is less than the minimum quality parameter.

6. The method as in claim 5, wherein step (a) further includes creating the plurality of quantizer parameter sets based on threshold viewing distance with a human visual system model.

7. The method as in claim 5, wherein step (b) further includes compressing the digital image using JPEG compression and using quantization tables as the quantizer parameter sets.

8. The method as in claim 7, wherein step (a) further includes creating the plurality of quantizer parameter sets based on threshold viewing distance with a human visual system model.